DocumentCode :
3137871
Title :
Advanced fuzzy PID composite control for stabilized platform system
Author :
Yu, Zhi ; Cao, JianZhong ; Yang, HongTao ; Guo, HuiNan ; Gao, Bo ; Yang, Lei
Author_Institution :
Xi An Inst. of Opt. & Precision Mech., Xi´´an, China
fYear :
2012
fDate :
5-8 Aug. 2012
Firstpage :
2536
Lastpage :
2540
Abstract :
The Stabilized platform is used for isolating the vibration and disturbance of carrier and ensuring the stability of the line of sight (LOS). Proportional-integral-derivative (PID) control provides an efficient solution to control problems and make good performance in static precision. The fuzzy controller has good robust and is effective for the nonlinear time-varying system. Based on Advanced Scale Factor and Smooth Handover, this paper presents an Advanced Fuzzy PID Composite controller (A-FPID) to achieve high performance in static precision and dynamic characteristic for stabilized platform. Through the study on the A-FPID, the Scale Factor of defuzzification is adjusted by self-adaptive parameters to improve the control effects of fuzzy rules. A fuzzy switch is proposed when controller switches between fuzzy and PID to reduce non-smooth and jitter problems. The simulation results indicate that the A-FPID can obviously improve the system´s dynamical performance and enhance its static precision for stabilized platform.
Keywords :
fuzzy control; nonlinear control systems; precision engineering; robust control; self-adjusting systems; three-term control; time-varying systems; vibration isolation; A-FPID; LOS; PID control; advanced fuzzy PID composite control; avanced scale factor; carrier disturbance; controller switch; defuzzification scale factor; fuzzy rule; fuzzy switch; jitter problem; line of sight; nonlinear time-varying system; nonsmooth problem; proportional-integral-derivative control; robust; self-adaptive parameter; smooth handover; stability; stabilized platform system; static precision; system dynamical performance; vibration isolation; Angular velocity; Fuzzy control; Mathematical model; Niobium; PD control; Switches; A-FPID; Fuzzy; Scale Factor; Stabilized Platform;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechatronics and Automation (ICMA), 2012 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4673-1275-2
Type :
conf
DOI :
10.1109/ICMA.2012.6285746
Filename :
6285746
Link To Document :
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