2014•Advanced materials researchOpen access

Optimization Technology of PID Parameter in Control System Based on Improved Particle Swarm Optimization Algorithms

Tian Shun Huang, Xiao Qiang Li, Hong Lian, Zhi‐Qiang Zhang

Abstract

Particle swarm algorithm has been proven to be very good solving many global optimization problems. Firstly we improved particle swarm optimization algorithm, the improved PSO algorithm for continuous optimization problem, in solving the nonlinear combinatorial optimization problems and mixed integer nonlinear optimization problems is very effective. This design adopts the improved particle swarm algorithm to optimize the PID parameters of the control system, and the effectiveness of the improved algorithm is proved by experiment.

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Available abstract

Key concepts: Particle swarm optimization, Multi-swarm optimization, Meta-optimization, Metaheuristic, Mathematical optimization, PID controller, Parallel metaheuristic, Imperialist competitive algorithm