Title :
Robust adaptive control for near space vehicles based on wavelet neural network
Author :
Yali Xue ; Jie Wen ; Yanli Du
Author_Institution :
Coll. of Autom. Eng., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
Abstract :
In order to improve the adaptive ability and robustness of the system, the wavelet neural network (WNN) single-scaling frame function with robust controller is used to design the controller. The WNN has self-learning and adaptive ability to approximate nonlinear functions. Combined with the trajectory linearization control (TLC) method, the adaptive robust control strategy and the NSV attitude control system are designed. Then simulations are taken to demonstrate the effectiveness.
Keywords :
Lyapunov methods; MIMO systems; adaptive control; approximation theory; attitude control; control system synthesis; nonlinear functions; robust control; space vehicles; trajectory control; unsupervised learning; wavelet neural nets; Lyapunov stability theory; MIMO nonlinear system; NSV attitude control system; TLC method; WNN; adaptive ability; near space vehicles; nonlinear functions; robust adaptive control strategy; robust controller; self-learning ability; trajectory linearization control method; wavelet neural network single-scaling frame function; Adaptive systems; Approximation methods; Neural networks; Nonlinear systems; Robustness; Uncertainty; Wavelet transforms; Near Space Vehicle(NSV); Trajectory Linearization Control(TLC); wavelet neural networks (WNN);
Conference_Titel :
Industrial Electronics Society, IECON 2013 - 39th Annual Conference of the IEEE
Conference_Location :
Vienna
DOI :
10.1109/IECON.2013.6699730
