Tuning of PID parameters based on improved particle swarm optimization algorithm
Ping Li
Abstract
Ping Li
Abstract
Particle swarm optimization algorithm is a global optimization technique.The algorithm is simple for implement and excellent for application.PID control is used widely in many kinds of industry circumstance for its simple algorithm,high reliability and good robustness.This thesis proposed one kind improved PSO algorithm,based on the analysis of the basic PSO algorithm,succeeding to raise its convergence rate and the optimization precision.Furthermore,the provided method was proved feasible by its application to the PID controller parameter installation and was of better superiority through the MATLAB simulation.
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Particle swarm optimization algorithm is a global optimization technique.The algorithm is simple for implement and excellent for application.PID control is used widely in many kinds of industry circumstance for its simple algorithm,high reliability and good robustness.This thesis proposed one kind improved PSO algorithm,based on the analysis of the basic PSO algorithm,succeeding to raise its convergence rate and the optimization precision.Furthermore,the provided method was proved feasible by its application to the PID controller parameter installation and was of better superiority through the MATLAB simulation.
Key concepts: PID controller, Particle swarm optimization, Robustness (evolution), Multi-swarm optimization, MATLAB, Meta-optimization, Computer science, Algorithm