Title :
Fuzzy Controller Design and Parameter Optimization
Author :
Hao, Wan-jun ; Qiao, Yan-hui ; Liu, Guo-liang ; Qiang, Wen-yi
Author_Institution :
Sch. of Astronaut., Harbin Inst. of Technol.
Abstract :
In this paper, a fuzzy controller with dual controller structure is proposed for solving the contradiction between steady performance and dynamic performance of usual fuzzy controllers. The structure of the obtained controller is simple and its algorithm is convenient, it has good robust and dynamic performance, and can effectively eliminate steady state deviations. For avoiding complex adjustment of parameters as asked for in the design of fuzzy controllers, and attain optimal control properties, a particle swarm optimization (PSO) algorithm has been made use of to optimize the parameters of a fuzzy controller during design. Numerical simulations based on typical controlled objects demonstrate the effectiveness and the adaptability of the algorithm, as well as the superiority of the designed controller
Keywords :
control system synthesis; fuzzy control; optimal control; particle swarm optimisation; robust control; PSO algorithm; dual controller structure; dynamic performance; fuzzy controller design; optimal control properties; parameter optimization; particle swarm optimization; robust control; steady performance; steady state deviations; Algorithm design and analysis; Control systems; Cybernetics; Design optimization; Evolutionary computation; Fuzzy control; Fuzzy systems; Machine learning; Optimal control; Optimization methods; Particle swarm optimization; Robust control; Robustness; Fuzzy control; Parameter optimizatio; Particle swarm optimization algorithm;
Conference_Titel :
Machine Learning and Cybernetics, 2006 International Conference on
Conference_Location :
Dalian, China
Print_ISBN :
1-4244-0061-9
DOI :
10.1109/ICMLC.2006.258322
