PID Control of Double-Loop Speed Control System Based on Bacteria-Particle Swarm Hybrid Optimization Algorithm

Tao Cheng; Wei Xing Lin; Wen Lei Li

doi:10.4028/www.scientific.net/AMM.241-244.1850

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 241-244PID Control of Double-Loop Speed Control System...

PID Control of Double-Loop Speed Control System Based on Bacteria-Particle Swarm Hybrid Optimization Algorithm

Abstract:

In order to improve the performance of dual-loop speed control system and overcome the defect of the traditional PID controller parameter tuning, a hybrid algorithm(BF-PSO) of Bacterial Foraging Optimization (BFO) algorithm and Particle Swarm Optimization(PSO) algorithm is proposed in this paper, and applied to PID parameter tuning of the double-loop speed control system. This algorithm combines the fast convergence characteristics of PSO and strong global search ability of BFO. Compared with the simulation results of the PSO and BFO, BF-PSO has better speed tracking performance, and higher convergence speed and robustness.

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Periodical:

Applied Mechanics and Materials (Volumes 241-244)

Pages:

1850-1854

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.241-244.1850

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Online since:

December 2012

Authors:

Tao Cheng, Wei Xing Lin, Wen Lei Li

Keywords:

Bacterial Foraging Optimization, Double-Loop Speed Control System, Particle Swarm Optimization (PSO), PID Parameter Tuning

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References

[1] Wang. L and Jiang. J. P. Brushless Direct-current Motor Optimal State Feedback Drive Control With Adaptive Compensation. Proceedings of The Chinese Society for Electrical Engineering. 2008, 28(24): 101-107.

Google Scholar

[2] Gao. S. Q, Luo. C and Yao. F. L. Control Method with Control Quantum Varying in The Form of Arbitrary Function Based on PID Algorithm. Chinese Journal of Scientific Instrument. 2011, 32(6): 1317-1323.

Google Scholar

[3] Xu. H. Q. PID Parameters Optimization Based on Improved Ant Colony Algorithm. Manufacturing Automation. 2011, 33(8): 1-3.

Google Scholar

[4] Xue. D. Y. Control System Simulation and Computer Aided Design. Beijing: Machinery Industry Press (2005).

Google Scholar