DocumentCode :
1967676
Title :
Study of Adaptive Inverse Control to Stale Platform
Author :
Ying, Li ; Wen-Qi, Ge ; Shao-Bin, Wang ; Zheng-Ping, Xu
Author_Institution :
Changchun Inst. of Opt., Chinese Acad. of Sci., Changchun
Volume :
4
fYear :
2008
fDate :
12-14 Dec. 2008
Firstpage :
807
Lastpage :
810
Abstract :
Stable platform is a complicated nonlinear system. The common PID control can not meet the requirement of high precision and fast response. The adaptive inverse control was introduced in the system of stable platform. Based on it , the system utilize its character of open circle to improve system capability. In the model building to object model and object inverse model, the NARX network is used. The algorithm uses the least square method instead of least square (LMS) to identify the parameters and design the control. The simulation results show several advantages of this control strategy, such as sensitive response, non-overshoot, good anti-disturbance, and minimal stable error, and showed dynamic/static performance was superior to those of conventional PID method.
Keywords :
adaptive control; autoregressive processes; inverse problems; least mean squares methods; nonlinear control systems; three-term control; NARX network; PID control; adaptive inverse control; least square method; nonlinear autoregressive external input; nonlinear system; object inverse model; stable platform; Adaptive control; Algorithm design and analysis; Buildings; Control systems; Inverse problems; Least squares approximation; Least squares methods; Nonlinear systems; Programmable control; Three-term control; NARX network; adaptive inverse control; stable platform;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3336-0
Type :
conf
DOI :
10.1109/CSSE.2008.669
Filename :
4722741
Link To Document :
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