Abstract: A method of forming a flexible electronic component includes treating a flexible fluoroelastomer substrate to increase the surface energy of the substrate to a specified surface energy. After the treatment, a layer of conductive material is printed with an inkjet printer onto the substrate. After the printing, an encapsulant layer comprising a fluoroelastomer is applied onto the substrate.

Abstract: The present invention discloses a fabrication method and use of a ?40 mm large-size and high-contrast fiber optic image inverter, belonging to the field of manufacturing of fiber optic imaging elements. The light-absorbing glass for preparing the ?40 mm large-size and high-contrast fiber optic image inverter consists of the following components in molar percentage: SiO2 60-69.9, Al2O3 1.0-10.0, B2O3 10.1-15.0, Na2O 1.0-8.0, K2O 3.0-10.0, MgO 0.1-1.0, CaO 0.5-5.0, ZnO 0-0.1, TiO2 0-0.1, ZrO2 0.1-1.0, Fe2O3 3.0-6.5, Co2O3 0.1-0.5, V2O5 0.51-1.5 and MoO3 0.1-1.0. The fiber optic image inverter has the advantages of low crosstalk of stray light, high resolution and high contrast.

Abstract: An intelligent control method for a dynamic neural network-based variable cycle engine is provided. By adding a grey relation analysis method-based structure adjustment algorithm to the neural network training algorithm, the neural network structure is adjusted, a dynamic neural network controller is constructed, and thus the intelligent control of the variable cycle engine is realized. A dynamic neural network is trained through the grey relation analysis method-based network structure adjustment algorithm designed by the present invention, and an intelligent controller of the dynamic neural network-based variable cycle engine is constructed. Thus, the problem of coupling between nonlinear multiple variables caused by the increase of control variables of the variable cycle engine and the problem that the traditional control method relies too much on model accuracy are effectively solved.

Abstract: Various examples are provided related to high-speed autofocus control. In one example, a method includes obtaining a first image of a target with a camera; adjusting focus of the camera by a specified AF bin step size; obtaining a second image of the target; adjusting focus of the camera by the specified AF bin step size; obtaining a third image of the target; determining an optimal focus using data of the second and third images; and adjusting focus of the camera to the optimal focus. In another example, a method includes generating an input vector comprising a sequence of input-output pairs associated with a piezoelectric controlled motion stage that can position a camera relative to a target; determine a control input for the motion stage using a LSTM backpropagation network trained to minimize a cost function over a defined prediction horizon; and applying the control input to the motion stage.

Abstract: The present invention provides an interval error observer-based aircraft engine active fault tolerant control method, and belongs to the technical field of aircraft control. The method comprises: tracking the state and the output of a reference model of an aircraft engine through an error feedback controller; compensating a control system of the aircraft engine having a disturbance signal and actuator and sensor faults through a virtual sensor and a virtual actuator; observing an error between a system with fault of the aircraft engine and the reference model through an interval error observer, and feeding back the error to the error feedback controller; and finally, using a difference between the output of the reference model of the system with fault and the output of the virtual actuator as a control signal to realize active fault tolerant control of the aircraft engine.

Abstract: A design method for undisturbed switching of linear controllers is provided for solving the problem of sudden system response change or an unstable control circuit caused by switching of multiple linear controllers, in which the linear controllers include proportional-integral-derivative (PID), linear-quadratic-Gaussian (LQG), linear active disturbance rejection control (LADRC), H?, model reference adaptive control (MRAC), and open-loop controllers. Firstly, differentials tbr outputs of the controllers are found, then through controller decision, a controller is selected to be connected to a closed-loop control circuit, and a differential term of the controller connected to the closed-loop control circuit is integrated through a common integrator, thereby ensuring smooth controller switching. The design method has a simple structure and good versatility, is operable, and can be easily applied to various actual control systems without requiring parameter adjustment.

Abstract: A modeling method for an integrated intake/exhaust/engine aero propulsion system with multiple geometric parameters adjustable includes the following steps: establishing an inlet and nozzle model by quasi one-dimensional aerodynamic thermodynamics and the method for solving the excitation system on the basis of a traditional engine component-level model; adding an inlet and engine flow balance equation and an engine and nozzle flow balance equation to the engine model, and establishing a propulsion system model based on the iteration method; and integrating the design of geometric parameters of an inlet and a nozzle into the model to realize the design of structure sizes of an intake/exhaust system and the simultaneous adjustment of multiple parameters.

Abstract: A bumpless transfer fault tolerant control method for aero-engine under actuator fault is disclosed. For an aero-engine actuator fault, by adopting an undesired oscillation problem produced by an active fault tolerant control method based on a virtual actuator, in order to solve the shortage of the existing control method, a bumpless transfer active fault tolerant control design method for the aero-engine actuator fault is provided, which can guarantee that a control system of the reconfigured aero-engine not only has the same state and output as an original fault-free system without changing the structure and parameters of a controller, to achieve a desired control objective, and that a reconfigured system has a smooth transient state, that is, output parameters such as rotational speed, temperature and pressure do not produce the undesired transient characteristics such as overshoot or oscillation.

Abstract: The present invention belongs to the technical field of numerical calculation of aero-engines, and provides an iterative algorithm for an aero-engine model based on hybrid adaptive differential evolution, comprising the following steps: establishing a component-level model of an aero-engine; solving the engine model by a hybrid adaptive differential evolution algorithm; and establishing a dynamic calculation model of the aero-engine. The aero-engine model established by the algorithm of the present invention is widely suitable for traditional turbojet engines and turbofan engines, advanced integrated engine propulsion systems and variable cycle engines, can maintain the dynamic model calculation without dead engine or interruption, and satisfies real-time requirements under most operating conditions.

Abstract: A design method of aero-engine on-line optimization and multivariable control based on model prediction control realizes aero-engine multivariable control and on-line optimization according to thrust, rotational speed and other needs under the condition of meeting constraints. The first part is a prediction model acquisition layer that continuously establishes a small deviation linear model of an aero-engine near different steady state points based on the actual operating state of the aero-engine in each control cycle and external environment parameters and that supplies model parameters to a controller; and the second part is a control law decision-making layer which is a closed loop structure that consists of a model prediction controller and an external output feedback. The model prediction controller determines the output of the controller at next moment by solving a linear optimization problem according to an engine model in the current state, a control instruction and relevant constraints.

Abstract: The present invention discloses an improved model-free adaptive control method, in particular to an improved method for a compact dynamic linearization model-free adaptive control based on MIMO systems, and belongs to the field of control algorithm design. Firstly, proportional control is added in CFDL-MFAC to improve the problems of low response speed and large overshoot in the original control system. Secondly, an anti-windup control algorithm of an actuator is added in the above control structure so that the actuator does not conduct transfinite operation when reaching the upper or lower saturation limit and the actuator can quickly make a control response when a control instruction enters an unsaturated region again to improve the control accuracy of the system. Then, it is proved through strict analysis that the improved control algorithm can ensure tracking error and BIBO stability under certain conditions.

Abstract: Soy-based high temperature products, or thermoset resins, are produced by solvent free polymerization of soy polyols and polyisocyanates at room temperature. The ratio of isocyanate equivalents to polyol equivalent used in the synthesis is greater than or equal to 3. The invented soy-based products are polyisocyanurate solid materials with excellent stability at high temperature. Heat resistance of the material is influenced by ratio of soy polyol and polyisocyanate.

Abstract: A steady state and transition state multi-variable control method of a turbofan engine based on an active disturbance rejection control theory (ADRC) belongs to the technical field of aero-engine control. Firstly, multiple groups of manipulated variables and controlled variables of a turbofan engine are preliminarily selected, and then the manipulated variables and controlled variables with high correlation are further determined by a correlation analysis method. Each group of control instructions is planned as a tracking trajectory by using a tracking differentiator, and is used as the input of a nonlinear proportional-differential controller together with the current state estimated by the extended state observer to calculate the manipulated variables.

Abstract: Soy-based high temperature products, or thermoset resins, are produced by solvent free polymerization of soy polyols and polyisocyanates at room temperature. The ratio of isocyanate equivalents to polyol equivalent used in the synthesis is greater than or equal to 3. The invented soy-based products are polyisocyanurate solid materials with excellent stability at high temperature. Heat resistance of the material is influenced by ratio of soy polyol and polyisocyanate.

Abstract: The present invention discloses a method for fault diagnosis of the sensors and actuators of an aero-engine based on LFT, and belongs to the field of fault diagnosis of aero-engines. The method comprises: establishing an aero-engine state space model using a combination of a small perturbation method and a linear fitting method; establishing an affine parameter-dependent linear-parameter-varying (LPV) model of the aero-engine based on the model; converting the LPV model of the aero-engine having perturbation signals and sensor and actuator fault signals into a linear fractional transformation (LFT) structure to obtain an synthesis framework of an LPV fault estimator; solving a set of linear matrix inequalities (LMIs) to obtain the solution conditions of the fault estimator; and designing the fault estimator in combination with the LFT structure to realize fault diagnosis of the sensors and actuators of an aero-engine.

Abstract: The present invention provides an improved Smith predictive controller-based aero-engine H? algorithm, and belongs to the technical field of aero-engine control and simulation.

Abstract: An intelligent control method for a dynamic neural network-based variable cycle engine is provided. By adding a grey relation analysis method-based structure adjustment algorithm to the neural network training algorithm, the neural network structure is adjusted, a dynamic neural network controller is constructed, and thus the intelligent control of the variable cycle engine is realized. A dynamic neural network is trained through the grey relation analysis method-based network structure adjustment algorithm designed by the present invention, and an intelligent controller of the dynamic neural network-based variable cycle engine is constructed. Thus, the problem of coupling between nonlinear multiple variables caused by the increase of control variables of the variable cycle engine and the problem that the traditional control method relies too much on model accuracy are effectively solved.

Abstract: A bumpless transfer fault tolerant control method for aero-engine under actuator fault is disclosed. For an aero-engine actuator fault, by adopting an undesired oscillation problem produced by an active fault tolerant control method based on a virtual actuator, in order to solve the shortage of the existing control method, a bumpless transfer active fault tolerant control design method for the aero-engine actuator fault is provided, which can guarantee that a control system of the reconfigured aero-engine not only has the same state and output as an original fault-free system without changing the structure and parameters of a controller, to achieve a desired control objective, and that a reconfigured system has a smooth transient state, that is, output parameters such as rotational speed, temperature and pressure do not produce the undesired transient characteristics such as overshoot or oscillation.

Abstract: A stochastic configuration network based turbofan engine health parameter estimation method is disclosed. The stochastic configuration network based turbofan engine health parameter estimation method designed by the present invention combines the model based Kalman filter algorithm and the data-driven based stochastic configuration network, i.e. using the output of the stochastic configuration network as the compensation of the Kalman filter algorithm, so as to take into account the estimated result of the Kalman filter and the estimated result of the stochastic configuration network and improve the estimation accuracy of the original Kalman filter algorithm when the measurable parameters of the turbofan engine are less than the health parameters to be estimated. In addition, the present invention effectively reduces the accuracy loss caused by the poor structure of the neural network through the stochastic configuration network, and improves the generalization ability of the network.

Abstract: A method for active fault tolerant control of a turbofan engine control system designs a linear parameter varying gain scheduling robust tracking controller with good dynamic performance. Adaptive estimation of fault amplitude of a sensor and an actuator is realized according to the change of the operating state of the turbofan engine to accurately reconfigure a fault signal. An active fault tolerant control strategy based on a virtual actuator is designed according to a fault estimation result. Without redesigning the controller, through the designed active fault tolerant control strategy, on the premise of ensuring the stability of the control system, a control effect similar to that of the control system without fault is obtained.