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A neural network adaptive robust controller for spacecraft attitude tracking is developed in this paper. The proposed controller achieves attitude tracking for a rigid spacecraft with a VSCMG cluster in the presence of parametric uncertainties and time-variation, taking into account dynamics of actuator and external disturbance. It is constructed by a nonlinear feedback compensator, a neural network...
A neuro-adaptive trajectory control approach for unmanned aerial vehicles is proposed. The aerial robot's altitude and latitude-longitude is controlled by three neuro-adaptive controllers that are used to track the desired altitude, airspeed and roll angle of the vehicle. Each intelligent control module consists of a conventional and a neural network feedback controller. The former is provided both...
Flight control parameters have a very important task for a safe and quality flight of the air vehicles. In this study, ANFIS is used for determination of the flight parameters. The system modelled by ANFIS for Boeing B-737-300 type planes has four inputs (height, temperature in Fahrenheit, angle of flaps, weight) and one output (flying speed). The simulation results are comparatively presented for...
In this paper we apply a recently developed neural network adaptive output feedback control methodology, suited to a class of nonlinear underactuated dynamical systems, to a three degrees-of-freedom (3DOF) model helicopter. Experimental results are presented and illustrate how this approach performs in the presence of modelling errors and parameter variations. Important topics concerning practical...
This paper presents output feedback neural control for helicopters in single-channel modes of operation with dynamics in single-input single-output (SISO) nonlinear nonaffine form. A constructive approach for adaptive NN control design with guaranteed stability is proposed based on the use of the Implicit Function Theorem, Mean Value Theorem, and high gain observer. It is shown that the output tracking...
As the missions to be assigned to UAV are more complex and rigorous, the need for an extended on-board intelligent control capability is crucial. The increasing power of computational resources makes possible the development of intelligent flight control systems which are capable of dealing with the complex tasks in dynamic and uncertain environments. Intelligent flight control systems make UAV have...
In this brief, robust adaptive neural network (NN) control is presented for helicopters in vertical flight, with dynamics in single-input-single-output (SISO) nonlinear nonaffine form. Based on the use of the implicit function theorem and the mean value theorem, we propose a constructive approach for adaptive NN control design with guaranteed stability. Considering both full-state and output feedback...
In this paper, we deal with the yaw control problem of a small-scale helicopter mounted on an experimental platform. The yaw dynamics of helicopter involve input nonlinearity, time-varying parameters and the couplings between main and tail rotor. An attractive control strategy that combines neural networks with traditional adaptive controls has been successfully used for yaw control with input nonlinearities...
This paper proposes a new architecture named Human As a Control Module (HACM) architecture to harmonize automation and adaptive nature of pilot maneuver. HACM architecture treats a pilot as a single module of controller in flight. By using the proposed architecture, it becomes possible to reduce or eliminate inappropriate pilot maneuvers caused by cognitive or decision making process and deliberate...
This paper provides some detailed analysis of the stability of the proposed direct adaptive controller for a special type of nonlinear system based on the previously published papers. The special learning algorithm similar to back propagation provides better stability and wide domain of attraction for the controller provided that the neural network parameters are chosen carefully. The controller acts...
This work presents a hybrid flight control methodology for adaptive, or morphing, aircraft. Morphing aircraft lack discrete control surfaces and use distributed actuation of the wing surface for maneuvering. Linear Quadratic Regulator (LQR) control is used to determine the optimal aerodynamic forces required to track an arbitrary flight path. The command forces are fed into a fuzzy-logic controller...
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