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

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DOI: 10.4236/ajor.2012.23053    3,531 Downloads   5,971 Views  
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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.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

J. Li and G. Yu, "Dynamical Adaptive Particle Swarm Algorithm and Its Application to Optimization of PID Parameters," American Journal of Operations Research, Vol. 2 No. 3, 2012, pp. 448-451. doi: 10.4236/ajor.2012.23053.

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