Title :
Slow switching adaptive model inversion control of helicopter
Author :
Zhao, Jia ; Shen, Gongzhang ; Chen, Shenggong
Author_Institution :
Sch. of Autom. Sci. & Electr. Eng., Beihang Univ., Beijing, China
Abstract :
Dealing with the deficiency in traditional adaptive model inversion control scheme of helicopter, we propose the slow switching AMIC scheme based on multiple points inversion models group and also give the asymptotic stability condition for the flight control system. In this scheme, multiple points inversion models group was constructed to replace the single point inversion model which is used in traditional scheme. The attitude error control system could be transformed into linear switched system, and then attitude adaptive control could be achieved via slow switching. Instead of compensating global inversion error caused by single point inversion model, the adaptive element used here, which was designed based on immune feedback principle, only needed to compensate local inversion error nearby current state point caused by multiple points inversion models group. Therefore, the burden of adaptive element could be greatly alleviated and controller robustness could also be promoted. Simulation results show superiorities of the proposed scheme. Good control performance and strong robustness are demonstrated.
Keywords :
adaptive control; asymptotic stability; attitude control; helicopters; linear systems; adaptive model inversion control; asymptotic stability; attitude adaptive control; attitude error control; flight control; helicopter control; immune feedback principle; linear switched system; multiple points inversion model; slow switching AMIC scheme; Adaptive control; Aerospace control; Asymptotic stability; Attitude control; Error correction; Helicopters; Programmable control; Robust control; State feedback; Switched systems; attitude control; helicopter; immune feedback; model inversion control; slow switching;
Conference_Titel :
Electronic Measurement & Instruments, 2009. ICEMI '09. 9th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-3863-1
Electronic_ISBN :
978-1-4244-3864-8
DOI :
10.1109/ICEMI.2009.5274275