The Research and Application of Particle Swarm Optimization in Parameter Tuning on PID Controller

Yu Lan Tang; Jian Hui Chen

doi:10.4028/www.scientific.net/AMM.423-426.2899

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 423-426The Research and Application of Particle Swarm...

The Research and Application of Particle Swarm Optimization in Parameter Tuning on PID Controller

Abstract:

A design method of PID controller based on particle swarm algorithm is proposed to solve the difficult problems of parameter tuning on PID controller in automatic control system. And the specific experimental structure is also given. The transfer function of DC servo generator was found with identification of system parameters, and the PID parameters were searched by particle swarm algorithm. MATLAB simulation was used to demonstrate the feasibility and advantages of this approach. The simulation result was compared to the result of searching PID parameters based on genetic algorithm, and it is show that the seeking time to tune the PID parameters by using the particle swarm algorithm is faster than by using the genetic algorithm method.

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Periodical:

Applied Mechanics and Materials (Volumes 423-426)

Pages:

2899-2902

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.423-426.2899

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Online since:

September 2013

Authors:

Yu Lan Tang, Jian Hui Chen

Keywords:

Genetic Algorithm (GA), Parameters Tuning, Particle Swarm Algorithm, PID Control

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References

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