PID Controller Parameter Tuning Based on Improved Particle Swarm Optimization Algorithm

DOI

10.2991/iceem-15.2015.26How to use a DOI?

Keywords

particle swarm optimization (PSO); simulated annealing algorithm (SA); PID parameter tuning

Abstract

Improved PSO algorithms combined with Simulated Annealing are proposed in this paper to solve the problems of the original PSO algorithm. After that three further improvements are proposed respectively from the parameters adjustment, the organization structure and evolution, and the topology structure. Four common test functions are used to test the optimizing performances of the improved PSO algorithms in the paper. The test results indicate that all the improved PSO algorithms have better performances compared with former PSO algorithms. Finally, the improved PSO algorithm is applied to PID parameter tuning, and the simulation experiment results prove that the improved PSO algorithm proposed in this paper is more feasible than other intelligent algorithms.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yanzi Miao
AU  - Yang Liu
AU  - Ying Chen
AU  - Huijie Jin
PY  - 2015/12
DA  - 2015/12
TI  - PID Controller Parameter Tuning Based on Improved Particle Swarm Optimization Algorithm
BT  - Proceedings of the 2015 International Conference on Electrical, Electronics and Mechatronics
PB  - Atlantis Press
SP  - 104
EP  - 107
SN  - 2352-5401
UR  - https://doi.org/10.2991/iceem-15.2015.26
DO  - 10.2991/iceem-15.2015.26
ID  - Miao2015/12
ER  -