Title :
A decentralized fuzzy logic controller design
Author_Institution :
Inst. of Inst. Educ. & Technol., Nat. Taiwan Normal Univ., Taipei, Taiwan
Abstract :
Presents a systematic methodology to the design of a decentralized fuzzy logic controller for large-scale nonlinear systems. A new method which is based on a performance index of sliding mode control is used to derive fuzzy rules and an adaptive algorithm is used to eliminate the chattering phenomenon. The simulation results of a two-inverted pendulum system and a two-link manipulator demonstrate that the attractive features of the proposed approach include a smaller residual error and robustness against nonlinear interactions
Keywords :
control system synthesis; decentralised control; fuzzy control; large-scale systems; performance index; robust control; variable structure systems; chattering phenomenon; decentralized fuzzy logic controller design; large-scale nonlinear systems; performance index; residual error; robustness; sliding mode control; two-inverted pendulum system; two-link manipulator; Adaptive algorithm; Control systems; Design methodology; Fuzzy control; Fuzzy logic; Large-scale systems; Nonlinear control systems; Nonlinear systems; Performance analysis; Sliding mode control;
Conference_Titel :
Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1896-X
DOI :
10.1109/FUZZY.1994.343723
