Study on PID Parameters Tuning Based on Particle Swarm Optimization

Yu Ting Zhou; Jian Bin Nie; Ning Han; Chen Chen; Zi Feng Yue

doi:10.4028/www.scientific.net/AMR.823.432

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 823Study on PID Parameters Tuning Based on Particle...

Study on PID Parameters Tuning Based on Particle Swarm Optimization

Abstract:

To address the PID parameter tuning problem, inspired by the swarm intelligence optimization algorithm, a tuning method of PID parameters based on particle swarm algorithm is proposed. To find an optimal set of PID control parameters in the target space, three parameters of the PID are as particles based on the fitness function. By designing optimization programs, air-conditioning temperature control system experiments were carried out as an example. The results show that the optimization can improve the dynamic control performance of the system.

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Periodical:

Advanced Materials Research (Volume 823)

Pages:

432-438

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.823.432

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Online since:

October 2013

Authors:

Yu Ting Zhou, Jian Bin Nie, Ning Han, Chen Chen, Zi Feng Yue

Keywords:

Control Performance, Fitness Function, Particle Swarm Optimization (PSO), PID Parameter Tuning

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References

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