Author(s)

Jimin Li, Guolin Yu

Research Institute of Information and System Computation Science, The North University for Nationalities, Yinchuan, China.

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.

Particle Swarm Optimization; Dynamical Adaptive; PID Automatic Regulation System

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.