Application of particle swarm optimization algorithm on robust PID controller tuning

Authors:
Jun Zhao;Tianpeng Li;Jixin Qian
Affiliations:
Institute of systems engineering, Zhejiang University, Hangzhou, China;Institute of systems engineering, Zhejiang University, Hangzhou, China;Institute of systems engineering, Zhejiang University, Hangzhou, China
Venue:
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part III
Year:
2005

Citing 3
Cited 0

Linear robust control

Linear robust control
Parameter Selection in Particle Swarm Optimization

EP '98 Proceedings of the 7th International Conference on Evolutionary Programming VII
Optimal Gain and Phase Margin Tuning for PID Controllers

Automatica (Journal of IFAC)

Quantified Score

Hi-index	0.00

Visualization

Abstract

The performance of the PID controller may deteriorate when the operating condition of a process fluctuates. A robust parameter tuning method to improve the PID controller performance under bounded model uncertainty is presented. First an enhanced performance criterion is proposed to reduce the overshoot and large control move. Then the robust tuning problem is formulated as a Min-Max optimization. Particle Swarm Optimization (PSO) is applied to solve the nonlinear, non-differentiable problem. Examples are given to demonstrate the effectiveness of the proposed method. Compared with other PID tuning methods, the result shows that better performance can be achieved with the model parameter fluctuation.