DocumentCode :
2726339
Title :
A New Variable Structure Control Algorithm Based on General Sliding Mode Prediction
Author :
Xiao, Lingfei ; Su, Hongye ; Zhang, Xiaoyu ; Chu, Jian
Author_Institution :
National Lab. of Ind. Control Technol., Zhejiang Univ., Hangzhou
Volume :
1
fYear :
0
fDate :
0-0 0
Firstpage :
2141
Lastpage :
2145
Abstract :
For systems described by controlled auto-regressive integrated moving average model, a novel variable structure control (VSC) strategy based on general sliding mode prediction is presented. By creating a special sliding mode prediction model, introducing a suitable reference sliding mode trajectory, and combining with general predictive control (GPC) approach, the variable structure control law is constructed. Simulation results illustrate that the closed-loop systems have the advantages of VSC and GPC, while relief the drawbacks of VSC. Such as the systems have strong robustness, the systems states have fast convergence, the control signals in the systems are optimal, the disgusting chattering phenomena is eliminated, and the algorithm is convenient to deal with time-delay
Keywords :
autoregressive moving average processes; closed loop systems; predictive control; robust control; variable structure systems; autoregressive integrated moving average model; chattering elimination; closed-loop system; control signals; general predictive control; general sliding mode prediction; reference sliding mode trajectory; system robustness; time-delay; variable structure control algorithm; Algorithm design and analysis; Control systems; Convergence; Industrial control; Laboratories; Optimal control; Parameter estimation; Predictive models; Robust control; Sliding mode control; Variable structure control; chattering elimination; general sliding mode prediction; robustness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
Type :
conf
DOI :
10.1109/WCICA.2006.1712737
Filename :
1712737
Link To Document :
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