Title :
Pseudo control compensation based neural network dynamic inversion super maneuverable flight control
Author :
Jiaqiang Zhu ; Guo, Suofeng ; Zhu, Jihong
Author_Institution :
State Key Lab. of Intelligent Technol. & Syst., Tsinghua Univ., Beijing, China
Abstract :
Pseudo control compensation based neural network dynamic inversion control is applied in super-maneuverable flight control. The base control law is designed in nonlinear dynamic inversion; neural networks are used to adaptively cancel inversion error. Pseudo control compensator is designed to cancel the interaction between actuator and adaptive neural networks. Simulations show that limitation that needs accurate mathematical model in dynamic inversion method can be released. The actuator that affects the adaptive factor is removed in this control structure and the robustness of the whole system is greatly improved.
Keywords :
adaptive control; aerospace control; compensation; control system synthesis; neural nets; nonlinear control systems; stability; adaptive control; neural network dynamic inversion; nonlinear dynamic inversion; pseudo control compensation; super maneuverable flight control; Actuators; Adaptive control; Adaptive systems; Aerospace control; Control systems; Error correction; Mathematical model; Neural networks; Nonlinear dynamical systems; Programmable control;
Conference_Titel :
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN :
0-7803-8273-0
DOI :
10.1109/WCICA.2004.1343771