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Design of Fractional Order Controller Based on Particle Swarm Optimization  

Cao, Jun-Yi (Department of Mechanical and Electronics Engineering, Xian Jiaotong University)
Cao, Bing-Gang (Department of Mechanical and Electronics Engineering, Xian Jiaotong University)
Publication Information
International Journal of Control, Automation, and Systems / v.4, no.6, 2006 , pp. 775-781 More about this Journal
Abstract
An intelligent optimization method for designing Fractional Order PID(FOPID) controllers based on Particle Swarm Optimization(PSO) is presented in this paper. Fractional calculus can provide novel and higher performance extension for FOPID controllers. However, the difficulties of designing FOPID controllers increase, because FOPID controllers append derivative order and integral order in comparison with traditional PID controllers. To design the parameters of FOPID controllers, the enhanced PSO algorithms is adopted, which guarantee the particle position inside the defined search spaces with momentum factor. The optimization performance target is the weighted combination of ITAE and control input. The numerical realization of FOPID controllers uses the methods of Tustin operator and continued fraction expansion. Experimental results show the proposed design method can design effectively the parameters of FOPID controllers.
Keywords
Evolutionary computation; fractional calculus; fractional order controllers; particle swarm optimization;
Citations & Related Records

Times Cited By Web Of Science : 19  (Related Records In Web of Science)
Times Cited By SCOPUS : 19
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