Title :
The indirect adaptive fuzzy predictive control of hypersonic vehicle
Author :
Ping Guan ; Sai Wang ; Xiao-he Liu
Author_Institution :
Sch. of Autom., Beijing Inf. Sci. & Technol. Univ., Beijing, China
Abstract :
In this paper, the adaptive fuzzy predictive control is applied to the hypersonic vehicle. The detailed design procedure of the fuzzy predictive control system is presented. The adaptive fuzzy control is utilized to approach the uncertain functions of the hypersonic vehicle and the adaptive law is derived. According to the tracking errors, weighted parameters of the fuzzy system are adjusted on-line to enable the system to approximate the uncertain nonlinear functions effectively. In addition, a robust controller is employed to enhance the performance of the whole system. Simulations results show the proposed control law can restrain the disturbances effectively and have better dynamic and static performances.
Keywords :
adaptive control; aircraft control; control system synthesis; fuzzy control; fuzzy systems; predictive control; adaptive law; control law; dynamic performance; fuzzy system; hypersonic vehicle; indirect adaptive fuzzy predictive control system design; robust controller; static performance; tracking errors; uncertain nonlinear functions; weighted parameters; Fuzzy control; Prediction algorithms; Predictive control; Robustness; Vehicle dynamics; Vehicles; Adaptive fuzzy control; Hypersonic vehicle; Predictive control; Robustness;
Conference_Titel :
Control and Decision Conference (CCDC), 2013 25th Chinese
Conference_Location :
Guiyang
Print_ISBN :
978-1-4673-5533-9
DOI :
10.1109/CCDC.2013.6560923