Abstract: An aerial vehicle comprises one or more sensors to environmental data, a communication system to receive control inputs from a user, two or more actuators, with each actuator coupled to a rotary wing. The aerial vehicle also comprises a controller to determine a mode of the aerial vehicle based on the environmental data and the control inputs, each mode indicating a set of flight characteristics for the aerial vehicle, generate a gain value based on the mode, the gain value, when used to modify power signals transmitted to actuators of the aerial vehicle, causing the aerial vehicle to conform within the indicated flight characteristics of the determined mode, generate an output signal modified by the gain value based on the input signal, and transmit a power signal based on the output signal to each actuator of the aerial vehicle.

Abstract: An unmanned aerial vehicle (UAV) includes a vehicle body, one or more propulsion units coupled to the vehicle body, and one or more processors operably coupled to the one or more propulsion units. The one or more processors are configured to receive one or more original altitude restrictions for the UAV, receive elevation information for an area the UAV is operating in or will operate in, determine one or more modified altitude restrictions based on the one or more original altitude restrictions and the elevation information, compare the one or more modified altitude restrictions with a legal altitude restriction to determine whether the one or more modified altitude restrictions are legally compliant, and if so, control the one or more propulsion units to cause the UAV to comply with the one or more modified altitude restrictions while operating in the area.

Abstract: A flight plan changing method performed by an apparatus includes reading a flight log of an unmanned aircraft that flies flight routes connecting multiple way points included in a flight plan and captures image data of an object located between the way points; identifying, based on the flight log, coordinates of a position of the unmanned aircraft at which the capturing of the image data of the object is interrupted; and generating a changed flight plan including way points that are newly determined based on the identified coordinates of the position.

Abstract: A method of assisting piloting, which method comprises the steps of designating a landing point and determining a sighting axis. A single three-dimensional main symbol providing a conformal position of the landing point is displayed on the screen so long as it is present in a field of view along the sighting axis, the three-dimensional main symbol extending in elevation upwards from the ground from a bottom zone positioned on the ground up to a top zone positioned at a top height relative to the ground. At least while the aircraft is situated at a distance from the landing point that is less than a first threshold distance, at least one two-dimensional main symbol covering a target zone is displayed.

Abstract: Systems and methods for providing decision support guidance are provided. A method includes receiving airport information that includes a location of each airport of a plurality of airports. The method further includes determining a flight range of an ownship based on a location of the ownship and an amount of fuel remaining in the ownship, and determining if any airport of the plurality of airports is within the flight range of the ownship. The method further includes, for each airport within the flight range: determining an amount of time the ownship can maintain a current flight course before the airport is no longer within the flight range; and providing display data. The display data indicates the amount of time the ownship can maintain the current flight course before the airport is no longer within the flight range.

Abstract: In an example, a method determines one or more characteristics of an intersection of two or more lanes of a roadway and determines a plurality of compatible movement groups representing allowable movement options of vehicles approaching the intersection. The method further calculates delays for the compatible movement groups, respectively, selects a compatible movement group from the plurality of compatible movement groups based on the delays, and provides control instructions to a set of the vehicles in a control region of the intersection associated with the compatible movement group to control one or more dynamics of each of the vehicles of the set as the vehicles of the set traverse the intersection.

Abstract: A powered aircraft includes at least one thrust producing engine and an engine controller controllably coupled to the at least one thrust producing engine. The engine controller includes at least a first control channel and a drag control channel. The first control channel is configured to control the at least one thrust producing engine via thrust control and the drag control channel is configured to control the at least one thrust producing engine via drag control.

Abstract: The present invention extends to methods, systems, and computer program products for using Unmanned Aerial Vehicles (UAVs) to inspect autonomous vehicles. An autonomous vehicle carries a UAV (or “drone”) in a protected area, for example, in a glove compartment, trunk, etc. Between rides, the UAV can be deployed to inspect the autonomous vehicle. Images from the UAV can be sent to other components for image analysis. When an inspection is completed, the UAV can return to the protected area. The UAV can inspect both the interior and exterior of an autonomous vehicle. When an inspection is passed, the autonomous vehicle can begin a new ride. When an inspection is failed, the autonomous vehicle can report for repairs or summon a tow vehicle.

Abstract: A system includes a controller configured to monitor a fuel system supplying fuel to a gas turbine engine. The system also includes an electric propulsion system controlled by the controller. The electric propulsion system is configured as a variable load, which is supplied rotational energy by the engine. The controller is configured to dynamically control a magnitude of the variable load to adjust rotational speed of the gas turbine engine during a fixed level of fuel supply to the gas turbine engine. The electric propulsion system may include an electric generator and a plurality of propulsor motor(s) rotating a propulsor to provide thrust and/or lift to a vehicle such as an aircraft. The electric generator may be rotationally driven with the gas turbine engine to output electric power. The electric power is supplied to the propulsor motor(s) to rotate the propulsor to provide thrust and/or lift of the vehicle.

Abstract: An unmanned aerial vehicle according to an embodiment of the present disclosure includes a storing part configured to store information regarding a geo-fence area, and flight approval information or shooting approval information of a main body of the unmanned aerial vehicle with respect to the geo-fence area; and a controller configured to, when the main body approaches the geo-fence area, extract approval code from the flight approval information or the shooting approval information, and release at least one of a flight mode and a shooting mode prohibited in the geo-fence area.

Abstract: A control system an unmanned vehicle includes a first processing unit configured to execute a primary autopilot process for controlling the unmanned vehicle. The control system further includes a programmable logic array in operative communication with the first processing unit. The control system also includes a state machine configured in the programmable logic array. The state machine is configured to enable control of the unmanned vehicle according to a backup autopilot process in response to an invalid output of the first processing unit.

Abstract: To avoid interfering with a participant when information on a venue of a competition or an event is provided by using an unmanned aerial vehicle, participant position information acquisition means of an unmanned aerial vehicle escape system acquires participant position information on a position of the participant in the venue of the competition or the event. Movement instruction means instructs an unmanned aerial vehicle for providing information on the venue to move to a position defined based on the participant position information. Layout information acquisition means acquires layout information on a layout of the venue. Escape destination determination means determines an escape destination of the unmanned aerial vehicle based on the participant position information and the layout information. Escape means causes the unmanned aerial vehicle to escape to the escape destination determined by the escape destination determination means.

Abstract: A system to detect an airborne drone presenting a flight risk to piloted aircraft and to warn the piloted aircraft of the detected drone. An airborne drone is detected by any of several means, to include receipt of drone location or identification data broadcast by the drone or a ground-based system, or through a piloted aircraft airborne sensor. The safety warning and real-time detection of a hazardous drone may be shared among other piloted aircraft, to include aircraft unequipped with airborne sensors.

Abstract: Disclosed are technologies for autonomous tracking. An initial coordinate of a beacon device carried by a user is registered as a dead reckoning waypoint with a drone configured to track the user. The drone receives IMU measurements from the beacon as the user moves. For each IMU measurement, a displacement vector characterizing user movement is calculated. Estimated beacon locations are calculated by dead reckoning, based on the displacement vectors and the dead reckoning waypoint. Later, an updated dead reckoning waypoint is calculated by obtaining the current location coordinate of the drone and performing optical triangulation to determine a relative position of the user with respect to the drone. The updated dead reckoning waypoint does not depend on previously estimated beacon locations, and accumulated IMU/estimation error is eliminated. Tracking continues, where subsequent estimated locations of the beacon are calculated by dead reckoning based on the updated dead reckoning waypoint.

Abstract: Disclosed herein are methods and systems for dynamically calculating a total fuel uplift quantity for an aircraft scheduled to fly a flight route. In one aspect, a method comprises: (a) polling a plurality of sources to receive data indicative of: (i) real-time weather conditions in remaining flight sectors in the flight route, and (ii) delay information in the remaining sectors; (b) calculating for the remaining sectors a respective fuel consumption factor; (c) based on (i) respective fuel quotations in the remaining sectors, (ii) the real-time weather conditions, and (iii) the delay information, generating a linear model for calculating a respective fuel uplift quantity at arrival stations in the remaining sectors; (d) calculating using the linear model the respective fuel uplift quantity at the arrival stations; and (e) periodically performing operations (a)-(d) to update a calculation of the respective fuel uplift quantities to account for changing factors.

Abstract: Troubleshooting a model comprising a plurality of interrelated parameters defining a dynamic behavior of a simulated interactive object in an interactive computer simulation when inputs are provided on tangible instrument(s) of an interactive computer simulation station. An expected frequency response function is obtained between each of the parameters of the model and each of the instrument(s). The expected frequency response function comprises a tolerable variability function. A frequency sweep is performed of a revised model, defining a revised dynamic behavior of the simulated interactive object, providing an actual frequency response function for the instrument(s). The revised model is determined to be different from the model by identifying discrepancy measurement(s) between the expected and the actual frequency response functions, each discrepancy measurement being centered on at least one frequency.

Abstract: An apparatus of an autonomous device comprises one or more state estimators to estimate one or more states of the autonomous device, wherein the one or more state estimators are to generate one or more derivatives of translational measurements, orientation measurements, reference translational values, and reference orientation values, and one or more controllers to receive an output from the one or more state estimators to provide control signals to control the autonomous device. The one or more state estimators include a hardware differentiator to generate the one or more derivatives.

Abstract: An intrusion prevention system includes an unmanned aerial vehicle (UAV), a UAV controller, and a restricted area data aggregator. The restricted data aggregator collects and stores restricted area data. The UAV controller is coupled to communicate with the UAV and the restricted area data aggregator, wherein the UAV controller receives positional data from the UAV and restricted area data from the restricted area aggregator. The UAV controller determines based on the received positional data and the received restricted area data whether the UAV is currently intruding within a restricted area or is predicted to intrude within a restricted area and wherein the UAV controller initiates actions to prevent unauthorized intrusions into restricted areas.

Abstract: The modular networking system supplies data and aircraft power to an inflight entertainment, communication or cabin management device within the aircraft. At least one universal module package for placement within the passenger cabin carries an Ethernet switch which has a processor programmed to support deterministic networking, such as according to AVB/TNS protocols. Devices within the cabin are attachable to ports on the Ethernet switch. A power converter circuit and power injector circuit within the module package supply power to devices attached ports on the Ethernet switch. A microcontroller-controlled circuit switch selectively admits or inhibits supply of power attached devices in response to the received control data from the avionics system.

Abstract: Various measures (for example methods, UAVs, controllers and computer programs) are provided in relation to controlling a UAV. The UAV is caused to provide energy to and receive energy from a given vehicle. The received energy is used to provide power to at least one component of the UAV.

Abstract: In one embodiment, a processor of a vehicle predicts a state of the vehicle using a behavioral model. The model is configured to predict the state based in part on one or more state variables that are available from one or more sub-systems of the vehicle and indicative of one or more physical characteristics of the vehicle. The processor computes a representation of a difference between the predicted state of the vehicle and a measured state of the vehicle indicated by one or more state variables available from the one or more sub-systems of the vehicle. The processor detects a malicious intrusion of the vehicle based on the computed representation of the difference between the predicted and measured states of the vehicle exceeding a defined threshold. The processor initiates performance of a mitigation action for the detected intrusion, in response to detecting the malicious intrusion of the vehicle.

Abstract: A system assisting autonomous driving using a drone include: a drone obtaining peripheral information through at least one or more detectors; a vehicle performing autonomous driving by using the peripheral information; and a server lending the drone in response to a drone rental request of the vehicle and assisting the autonomous driving of the vehicle.

Abstract: A system for combining data includes one or more processors that are, individually or collectively, configured to receive video data recorded by at least one sensor and operation data of a movable object that carries the at least one sensor, associate the operation data with the video data, and store the associated operation data and the video data in a video file. The operation data indicates one or more operation states of the movable object during a time period when the video data is recorded.

Abstract: A computer-implemented method for controlling a controllable object includes determining a change in a baseline between a controlling object and the controllable object based on measurements from a first location sensor of the controlling object and a second location sensor of the controllable object, mapping the baseline change to a corresponding change in a navigation path of the controllable object based at least in part on a mapping function, generating one or more control commands according to the mapping, and controlling the controllable object to effect the state change according to the one or more control commands.

Abstract: Aerial vehicles may include propulsion units having motors with drive shafts that may be aligned at a variety of orientations, propellers with variable pitch blades, and common operators for aligning the drive shafts at one or more orientations and for varying the pitch angles of the blades. The common operators may include plate elements to which a propeller hub is rotatably joined, and which may be supported by one or more linear actuators that may extend or retract to vary both the orientations of the drive shafts and the pitch angles of the blades. Operating the motors and propellers at varying speeds, gimbal angles or pitch angles enables the motors to generate forces in any number of directions and at any magnitudes. Attributes of the propulsion units may be selected in order to shape or control the noise generated thereby.

Abstract: A control system for limiting power turbine torque (QPT) of a gas turbine engine includes a controller including a processor and memory configured to control the gas turbine engine, the controller including an engine control module that provides an effector command signal to a gas generator of the gas turbine engine; a power turbine governor module that outputs a preliminary torque request (QPT_req_pre); and a power turbine torque (QPT) optimal limiter module that outputs a maximum torque topper (QPT_max) to limit a power turbine speed overshoot of the gas turbine engine; wherein the controller outputs a minimum value between the preliminary torque request (QPT_req_pre) and the maximum torque topper (QPT_max) to the engine control module.

Abstract: A mechanism is provided for deploying software applications in a cloud computing environment. An administrator is provided an interface for allowing a software application that is designed for a single tenant to be used by a plurality of users. An aspect of the invention is to provide a mechanism for quickly and easily giving multi-user qualities to a single tenant application like autoCAD. As such, multiple users can access the application without the need to download and install a version locally on their system. The system is able to determine the period of time for which an application is in use for a given user, because every application is run on a resource that is part of the cloud environment. Therefore, it is possible for the application provider to charge for the application in a usage-based model—e.g., by the hour, or day—without any re-engineering of the existing application.

Abstract: A system for unmanned aerial vehicle alignment including: an image sensor, configured to obtain an image of unmanned aerial vehicles and provide to a processor image data corresponding to the obtained image, the processor, configured to determine from the image data image positions of the unmanned aerial vehicles, determine an average position of the unmanned aerial vehicles relative to a first axis based on the image positions, determine an average line that extends along a second axis through the average position, wherein the first and second axes are perpendicular to each other, determine a target position of one of the unmanned aerial vehicles based on a relationship between its respective image position and a target alignment, and determine an adjustment instruction to direct said one of the unmanned aerial vehicles toward the target position, and provide the adjustment instruction to said one of the unmanned aerial vehicles.

Abstract: A mobile terminal can include a display unit; a wireless communication unit configured to wireless communicate with a drone; a sensing unit; and a controller configured to sense a first touch signal of touching at least one partial area of map content displayed by the display unit, the first touch signal including a drag touch signal of moving along a first path with a first pressure and a first speed, in which the controller is further configured to set a moving path of the drone including a departure point of the drone and an arrival point of the drone based on the first path of the drag touch signal, set a moving speed of the drone based on the first speed of the drag touch signal, set a moving altitude of the drone based on the first pressure of the drag touch signal, and control the wireless communication unit to transmit a control signal based on at least one of the set moving path, the set moving speed or the set moving altitude of the drone.

Abstract: Systems, devices, and methods for receiving, by a processor having addressable memory, data representing a geographical area for imaging by one or more sensors of an aerial vehicle; determining one or more straight-line segments covering the geographical area; determining one or more waypoints located at an end of each determined straight-line segment, where each waypoint comprises a geographical location, an altitude, and a direction of travel; determining one or more turnarounds connecting each of the straight-line segments, where each turnaround comprises one or more connecting segments; and generating, by the processor, a flight plan for the aerial vehicle comprising: the determined one or more straight-line segments and the determined one or more turnarounds connecting each straight-line segment.

Abstract: A computer, including a processor and a memory, the memory including instructions to be executed by the processor to generate a first map, based on vehicle sensor data, of a free space on a roadway in which a first vehicle can operate without contacting roadway edges and non-stationary objects on the roadway, the first map including roadway lane markings in an environment around the first vehicle, wherein the non-stationary objects include one or more second vehicles and generate a second map of free space in the environment around the first vehicle by determining B-splines corresponding to first roadway lanes based on the roadway lane markings and the roadway edges included in the first map. The instructions include further instructions to determine second roadway lanes based on determining locations of the non-stationary objects, determine combined roadway lanes based on the first roadway lanes and the second roadway lanes and operate the first vehicle based on the combined roadway lanes.

Abstract: Disclosed herein are system and method for automatically recharging a unmanned aerial vehicle (UAV) on a moving platform, comprising: a software module identifying the moving platform; a software module estimating a real-time state of the moving platform; a software module controlling automatic landing of the UAV on the moving platform based on the real-time state estimation of the moving platform and data collected from the one or more sensors; a software module controlling automatic connection of the UAV to a charging station of the moving platform with a pre-determined orientation; and a software module controlling automatic taking off of the UAV from the moving platform after charging.

Abstract: Systems and methods for coordinating operations of a plurality of autonomous vehicles are described. An autonomous vehicle management system may receive information from the plurality of autonomous vehicles related to strategy modes, actions, and the environments. The strategy modes may include an uncoupled strategy mode, a permissive strategy mode, an assistive strategy mode, and a preventative strategy mode. The autonomous vehicle management system may then process the received information based on an operational goal for the system as a whole. The autonomous vehicle management system may then instruct modifications to operations of one or more of the plurality of autonomous vehicles to achieve the operational goal for the system.

Abstract: In some embodiments, methods and systems are provided that provide for facilitating delivery, via unmanned aerial vehicles, of products ordered by a customer of a retailer to a customer-selected physical location of a person other than the customer.

Abstract: A network system provides delivery of items using unmanned aerial vehicles (UAV) or drones. The network system uses an infrastructure of nodes that include landing pads to dock drones, as well as interfaces to provide and receive items from docked drones. Nodes may be stationary (e.g., fixed at a building rooftop or public transit station) or mobile (e.g., mounted to a vehicle). The network system may determine a route for delivery of an item, where a drone transports the item for at least a portion of the route. For example, the route may include multiple waypoints associated with nodes between which drones travel. For other portions of the route, the network system may request a provider to transport the item using a ground-based vehicle.

Abstract: Systems and methods for recording and communicating engine data are provided. One example aspect of the present disclosure is directed to a method for monitoring performance. The method includes receiving, by one or more computing devices, a measurement from a sensor. The method includes assigning, by the one or more computing devices, a time to the measurement. The method includes storing, by the one or more computing devices, the received measurement and the assigned time to a file. The method includes transmitting, by the one or more computing devices, the file to a remove computing device associated with a ground system.

Abstract: A system and method for activation of chart data via touchscreen enables a pilot to touch a system generated hotspot within the flight chart displayed on the touchscreen and thereby affecting a change in an aircraft system. The system overlays a hotspot over chart data within the flight chart and associates the hotspot and hotspot data with the chart data. Upon reception of a pilot command of selection of the hotspot, the system verifies the pilot command and interfaces with the aircraft systems to make the change in frequency, navigation, and path of the aircraft.

Abstract: A system may include a non-avionics computing device, a data network switch, and avionics computing devices. The non-avionics computing device may be configured to execute a situation awareness program. Each of the avionics computing devices may be communicatively coupled to the data network switch. The avionics computing devices may include a first avionics computing device communicatively coupled to the non-avionics computing device. The first avionics computing device may be configured to: receive avionics data from other of the avionics computing devices; filter the avionics data from the other of the avionics computing devices based on a predetermined relevance to the situation awareness program; and output the filtered avionics data to the non-avionics computing device.

Abstract: Guidance laws for generating a control command for controlling, directing, or maneuvering, a platform, or displaying a maneuver for the platform, to track a defined path upon detecting a deviation from the defined path relative to a non-linear desired path being traversed. The non-linear desired path may be a curved lateral ground path or a curved vertical ground path with a containment region forming a control boundary within which platform deviations from the defined path are contained. The guidance laws are enhanced to maintain a position of the platform within the containment region based on a threshold and a degree of accuracy associated with the threshold. Non-ideal conditions and circumstances, such as external forces, relatively low operating speeds, control delays, and discontinuities in the defined path are accounted for to reduce total system error (TSE), reduce lateral and vertical deviations, and increase precision and accuracy of platform control.

Abstract: Various embodiments are generally directed to providing information capture by multiple drones, which may operate in a swarm, while maintaining rights and/or value assigned to the content authored by each drone or by subsets of drones. In general, the present disclosure provides that drones participating in content acquisition may attest to their authenticity to establish trust between drones in the swarm.

Abstract: An aerial vehicle is programmed to proceed to a safe landing area upon a loss of GPS signals or other navigational signals. The aerial vehicle is programmed with a location of the safe landing area, and a visual descriptor of a landmark at the safe landing area. The landmark may be any natural or man-made structure or feature associated with the safe landing area, and the visual identifier may be any set of data corresponding to one or more contours, outlines, colors, textures, silhouettes or shapes of the landmark. Upon determining that a GPS position may not be determined, or shortly thereafter, the aerial vehicle proceeds on a course toward the location of the safe landing area, and begins to capture imaging data. The aerial vehicle confirms that it has arrived at the safe landing area upon detecting the visual identifier within the imaging data, and initiates a landing operation.

Abstract: Embodiments include devices and methods for managing network communication of an unmanned autonomous vehicle (UAV). A processor of the UAV may determine an altitude of the UAV. The processor may optionally also determine a speed or vector of the UAV. Based on the determined altitude and/or speed/vector of the UAV, the processor may adjust the communication parameter of the communication link between the UAV and a communication network. The processor may transmit signals based on the adjusted communication parameter, which may reduce radio frequency interference caused by the transmissions of the UAV with the communication network.

Abstract: Systems, devices, and methods for a safety system including: selecting an unmanned aerial vehicle (UAV) command on a controller, the controller comprising a first processor with addressable memory; presenting a first activator and a second activator on a display of the controller for the selected UAV command, wherein the second activator is a slider; and sending the UAV command to a UAV if the first activator and the second activator are selected, the UAV comprising a second processor with addressable memory.

Abstract: A method for providing cost data for a flight is provided. The method (i) obtains cost target data for the flight, under anticipated conditions; (ii) obtains real-time aircraft performance parameters affecting the actual cost of the flight, using continuous monitoring during the flight, including at least aircraft speed modes, aircraft flight level changes, tactical interventions, weather impact, and descent timing deviations; (iii) determines an actual cost of the flight, based on the real-time aircraft performance parameters affecting the actual cost; (iv) identifies flight plan change options associated with a potential cost savings over the actual cost, wherein the flight plan change options comprise potential modifications to the flight plan to complete the flight; (v) presents the flight plan change options; and (vi) adapts operation of one or more avionics systems onboard the aircraft, based on one of the flight plan change options.

Abstract: A smart clothing system includes an item of clothing wearable by a person, the item having a conductive fiber disposed therein, the conducive fiber being capable of conducting electrical energy, a rechargeable power supply physically coupled to the item and electrically coupled to the conductive fiber, at least one component physically coupled to the item of clothing and electrically coupled to the conductive fiber, a wireless communication system physically coupled to the item of clothing and electrically coupled to the conductive fiber, the wireless communication system configured to communicate with the at least one component and an external data communications network, and a remote camera disposed remotely from the person and coupled to a remote item, the remote camera being configured to capture at least one of video and audio data, and wirelessly communicate with at least one of the external data communications network and the at least one component via the wireless communication system.

Abstract: Provided are a control device for unmanned aerial vehicle and an unmanned aerial vehicle. The control device for unmanned aerial vehicle includes a shell, an inertial measurement device fixed in the shell, a main flight control circuit board electrically connected to the inertial measurement device, and a flexible interface board electrically connected to the main flight control circuit board and appressed against the inwall of the shell. At least one external device is connected to two opposite sides of the flexible interface board through the shell.

Abstract: A redundant sensor fabric in an autonomous vehicle may include receiving, by a processing unit, sensor data from a first sensor of a plurality of sensors associated with a same sensing space of the autonomous vehicle; detecting a fault associated with the first sensor; establishing, via a switched fabric, a communications path between the processing unit and a second sensor of the plurality of sensors; and receiving, by the processing unit, sensor data from the second sensor instead of the first sensor.

Abstract: A system for taking into account micro wind conditions in a region. The system comprises a plurality of aerial vehicles within the region and a wind speed calculator. Each of the plurality of aerial vehicles has an altitude sensor and a GPS receiver. The wind speed calculator is configured to determine wind vectors within the region using measurements from the plurality of aerial vehicles.

Abstract: A multi-rotor aircraft (100) is provided, comprising: a main aircraft assembly (10) comprising a first magnetic medium (13), a main housing (11), and a control motherboard accommodated in the main housing (11), wherein the first magnetic medium (13) is provided on the main housing (11), a slot (1120) is further provided on the main housing (11), and a connection point of the control motherboard is provided in the slot (1120); and a plurality of rotor systems (20), wherein each of the plurality of rotor systems comprises a second magnetic medium (23), a rotor mechanism (21), and a rotor protection cover (22) that is of a hollow annular structure and is fixed outside the rotor mechanism (21), wherein the second magnetic medium (23) is fixed to the rotor protection cover (22) and attracting the first magnetic medium (13), and a pin (2200) matching the slot (1120) is further provided on the rotor protection cover (22).

Abstract: Methods, systems, and apparatuses are provided for a Secondary Runway Aiming Point (SRAP) procedure of an approach by an ownship that includes identifying at least one aircraft making an approach that satisfy a set of preconditions to pair the aircraft to the ownship in the SRAP procedure; calculating a set of results based on lateral and vertical deviations of a paired SRAP aircraft to the ownship, and differential lateral and vertical rates of the paired SRAP aircraft to the ownship; deriving one or more points from the calculated set of results to determine whether in a flight path of the ownship there is an occurrence of an intrusion into a wake of the paired SRAP aircraft during the approach, and generating graphic data to present on the cockpit display the occurrence of the intrusion in the wake of the flight path of the ownship to the paired SRAP aircraft.