Abstract: An aircraft system includes three or more aircraft and a flight control system. The flight control system controls flight of the aircraft so as to maintain the three aircraft in an inverted-V flight formation. Specifically, two leading aircraft fly along parallel flight paths and maintain substantially identical longitudinal positions along the parallel flight paths. A trailing aircraft flies along a flight path centered between the trailing vortices or flight paths of the leading aircraft and has a longitudinal position that is behind the two leading aircraft. The leading aircraft maintain a lateral separation distance such that the induced drag for the three aircraft formation is minimized for example by setting a lateral separation distance between wingtips of 0.8 to 1.0 wingspan of the trailing aircraft. The longitudinal separation between the leading and trailing aircraft is controlled by the flight control system based on operational objectives of the aircraft system.

Abstract: A system for automated control of a refueling boom coupled to a tanker aircraft is provided. The system includes: a first inertial measurement unit (IMU) providing inertial measurements for the tanker aircraft; a first GPS receiver providing a GPS location for a GPS antenna attached to the tanker aircraft; and a processor adapted to calculate a first inertial navigation state for the tanker aircraft through integration of the inertial measurements, the processor being further adapted to calculate a first inertial navigation state error relative to the GPS location and to filter the first inertial navigation state error and the first inertial navigation state based upon noise characteristics of the first IMU and the first GPS receiver to provide an updated inertial navigation state for the tanker aircraft, the processor being further adapted to control the refueling boom relative to a receiver aircraft based upon the first and updated inertial navigation states.

Abstract: A computerized system and method for peak-seeking-control that uses a unique Kalman filter design to optimize a control loop, in real time, to either maximize or minimize a performance function of a physical object (“plant”). The system and method achieves more accurate and efficient peak-seeking-control by using a time-varying Kalman filter to estimate both the performance function gradient (slope) and Hessian (curvature) based on direct position measurements of the plant, and does not rely upon modeling the plant response to persistent excitation. The system and method can be naturally applied in various applications in which plant performance functions have multiple independent parameters, and it does not depend upon frequency separation to distinguish between system dimensions.

Abstract: A system for automated control of a refueling boom coupled to a tanker aircraft is provided. The system includes: a first inertial measurement unit (IMU) providing inertial measurements for the tanker aircraft; a first GPS receiver providing a GPS location for a GPS antenna attached to the tanker aircraft; and a processor adapted to calculate a first inertial navigation state for the tanker aircraft through integration of the inertial measurements, the processor being further adapted to calculate a first inertial navigation state error relative to the GPS location and to filter the first inertial navigation state error and the first inertial navigation state based upon noise characteristics of the first IMU and the first GPS receiver to provide an updated inertial navigation state for the tanker aircraft, the processor being further adapted to control the refueling boom relative to a receiver aircraft based upon the first and updated inertial navigation states.

Abstract: A system for automated control of a refueling boom coupled to a tanker aircraft is provided. The system includes sensors such as electro-optical sensor or GPS sensors that provide measurements used by the system to automatically control the refueling boom so as to mate with a receiver aircraft. The system is configured to monitor the health of the sensors and to reconfigure itself if any of the sensor are faulty.

Abstract: A system for automated control of a refueling boom coupled to a tanker aircraft is provided. The system includes: a first inertial measurement unit (IMU) providing inertial measurements for the tanker aircraft; a first GPS receiver providing a GPS location for a GPS antenna attached to the tanker aircraft; and a processor adapted to calculate a first inertial navigation state for the tanker aircraft through integration of the inertial measurements, the processor being further adapted to calculate a first inertial navigation state error relative to the GPS location and to filter the first inertial navigation state error and the first inertial navigation state based upon noise characteristics of the first IMU and the first GPS receiver to provide an updated inertial navigation state for the tanker aircraft, the processor being further adapted to control the refueling boom relative to a receiver aircraft based upon the first and updated inertial navigation states.

Abstract: The implementation of periodic flight for enhancing aircraft's endurance or range is described having at least two components in the periodic flight embodiments. The first component is the trajectory optimization which determines the optimal periodic trajectory (such as altitude, velocity and flight path angle) that produces maximal endurance or range for a given fuel. The second component is the periodic guidance law which mechanizes the optimal periodic trajectory. For certain aircraft, periodic flight improves that aircraft's endurance or range over steady state flight.

Abstract: A system for automated control of a refueling boom coupled to a tanker aircraft is provided. The system includes: a first inertial measurement unit (IMU) providing inertial measurements for the tanker aircraft; a first GPS receiver providing a GPS location for a GPS antenna attached to the tanker aircraft; and a processor adapted to calculate a first inertial navigation state for the tanker aircraft through integration of the inertial measurements, the processor being further adapted to calculate a first inertial navigation state error relative to the GPS location and to filter the first inertial navigation state error and the first inertial navigation state based upon noise characteristics of the first IMU and the first GPS receiver to provide an updated inertial navigation state for the tanker aircraft, the processor being further adapted to control the refueling boom relative to a receiver aircraft based upon the first and updated inertial navigation states.

Abstract: A system for automated control of a refueling boom coupled to a tanker aircraft is provided. The system includes sensors such as electro-optical sensor or GPS sensors that provide measurements used by the system to automatically control the refueling boom so as to mate with a receiver aircraft. The system is configured to monitor the health of the sensors and to reconfigure itself if any of the sensor are faulty.

Abstract: An apparatus and method for vehicle orientation determination is disclosed. A typical method comprises the steps of receiving position and velocity information data from a global positioning system receiver unit, receiving vehicle dynamics information data from one or more vehicle dynamics sensors and determining a vehicle attitude from the position and velocity information and the vehicle dynamics information data using a Kalman filter.

Abstract: An apparatus and method for vehicle orientation determination is disclosed. A typical method comprises the steps of receiving position and velocity information data from a global positioning system receiver unit, receiving vehicle dynamics information data from one or more vehicle dynamics sensors and determining a vehicle attitude from the position and velocity information and the vehicle dynamics information data using a Kalman filter.

Abstract: A first order phase-lock loop that provides lower phase-error variance than classical systems at all frequencies when operated above threshold. The linear, minimum-variance filter described, in preferred form, employs three summers, two integrators, four system parameters, and two gain elements, the first and fourth system parameters being equal and the second and third system parameters being equal. The loop input, which contains a signal corrupted by noise, is connected as one input to the first summer whose output provides input to each of the gain elements. The first gain element is connected as one input to the second summer whose output is connected to the first integrator. The output of the first integrator, which is also the loop output and which is an estimate of the signal, is fed back negatively as one input to the first and second summers and as one negative input to the third summer.