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Dynamical Adaptive Particle Swarm Algorithm and Its Application to Optimization of PID Parameters
Research Institute of Information and System Computation Science, The North University for Nationalities, Yinchuan, China
Research Institute of Information and System Computation Science, The North University for Nationalities, Yinchuan, China
- 1 Research Institute of Information and System Computation Science, The North University for Nationalities, Yinchuan, China
- 2 Research Institute of Information and System Computation Science, The North University for Nationalities, Yinchuan, China
American Journal of Operations Research·Volume 02 (2012)·Pages 448–451·Published 18 September 2012·DOI10.4236/ajor.2012.23053
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Abstract
Based on a new adaptive Particle Swarm Optimization algorithm with dynamically changing inertia weight (DAPSO), It is used to optimize parameters in PID controller. Compared to conventional PID methods, the simulation shows that this new method makes the optimization perfectly and convergence quickly.
KeywordsParticle Swarm OptimizationDynamical AdaptivePID Automatic Regulation System
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