DocumentCode
2930313
Title
Robust fuzzy control for inverted pendulum with model uncertainty and output constraint via LMI stability analysis
Author
Gwo-Ruey Yu ; Shun-Min Wang
Author_Institution
Dept. of Electr. Eng., Nat. Chung Cheng Univ., Chiayi, Taiwan
fYear
2012
fDate
16-18 Nov. 2012
Firstpage
18
Lastpage
23
Abstract
This paper presents a robust controller design method for inverted pendulum with model uncertainty and output constraint via Particle Swarm Optimization (PSO) and Takagi-Sugeno (T-S) fuzzy control approach. First, the T-S fuzzy model is established for the inverted pendulum. According to the concept of parallel distributed compensation, LMI stability conditions are proposed to guarantee the T-S fuzzy control system designed via PSO is globally stable. The PSO-based T-S fuzzy controllers are designed such that the inverted pendulum is robust against model uncertainty under output constraint. Three examples demonstrate the effectiveness of this design.
Keywords
compensation; control system synthesis; fuzzy control; linear matrix inequalities; nonlinear control systems; particle swarm optimisation; pendulums; robust control; LMI stability analysis; PSO; T-S fuzzy control approach; Takagi-Sugeno fuzzy control; global stability; inverted pendulum; linear matrix inequalities; model uncertainty; output constraint; parallel distributed compensation concept; particle swarm optimization; robust controller design method; robust fuzzy control; Educational institutions; Fuzzy control; Mathematical model; Nonlinear systems; Robustness; Stability analysis; Uncertainty; PSO; T-S fuzzy control; model uncertainty; output constraint;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Theory and it's Applications (iFUZZY), 2012 International Conference on
Conference_Location
Taichung
Print_ISBN
978-1-4673-2057-3
Type
conf
DOI
10.1109/iFUZZY.2012.6409669
Filename
6409669
Link To Document