Title :
Fuzzy predictive control of hypersonic vehicle based on disturbance observer
Author :
Ping Guan ; Xiao-he Liu ; Zhen-hua Liu ; Sai Wang
Author_Institution :
Dept. of Autom., Beijing Univ. of Inf. Sci. & Technol., Beijing, China
Abstract :
Hypersonic vehicle is a complex systems with strong coupling, highly nonlinear, a large uncertainty. In this paper, the adaptive fuzzy predictive control method is applied to the hypersonic vehicle. The adaptive fuzzy system is utilized to approach the composite disturbance. The disturbance observer is designed to observe the composite disturbance, so as to make the adaptive fuzzy system to have the better approximation effect. Then the adaptive law is derived. In addition, the performance of the systema is enhanced by a robust controller. Simulations results show that the hypersonic vehicle can track the desired command signal effectively and the controller have better dynamic and static performances.
Keywords :
adaptive control; aircraft control; fuzzy control; fuzzy systems; nonlinear systems; observers; predictive control; robust control; adaptive fuzzy predictive control method; adaptive fuzzy system; approximation effect; complex systems; composite disturbance; disturbance observer; hypersonic vehicle; nonlinear system; robust controller; uncertainty system; Adaptive systems; Approximation methods; Fuzzy systems; Nonlinear systems; Observers; Predictive control; Vehicles; hypersonic vehicle; nonlinear predictive control; robust control; the adaptive fuzzy control;
Conference_Titel :
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location :
Qingdao
Print_ISBN :
978-1-4799-7016-2
DOI :
10.1109/CCDC.2015.7162541