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Dynamical Adaptive Particle Swarm Algorithm and Its Application to Optimization of PID Parameters

Dynamical Adaptive Particle Swarm Algorithm and Its Application to Optimization of PID Parameters
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摘要 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. 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.
出处 《American Journal of Operations Research》 2012年第3期448-451,共4页 美国运筹学期刊(英文)
关键词 PARTICLE SWARM OPTIMIZATION DYNAMICAL ADAPTIVE PID Automatic REGULATION System Particle Swarm Optimization Dynamical Adaptive PID Automatic Regulation System
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