Optimization of PID Controller Parameters Based on Improved Genetic Algorithm

Ying Chen; Yong Jie Ma; Wen Xia Yun

doi:10.4028/www.scientific.net/AMM.303-306.1189

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 303-306Optimization of PID Controller Parameters Based on...

Optimization of PID Controller Parameters Based on Improved Genetic Algorithm

Abstract:

The current Proportion Integration Differentiation(PID) optimization design methods are often difficult to consider the system requirements for quickness,reliability and robustness.So an Improved Genetic Algorithm(IGA) is proposed.The new method of generating the initial population,adaptive change of crossover and mutation probability and effective selection strategy are used to optimize the parameters of PID controller. The simulation experiments with Matlab prove the new approach is valid.

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Periodical:

Applied Mechanics and Materials (Volumes 303-306)

Pages:

1189-1192

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.303-306.1189

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Online since:

February 2013

Authors:

Ying Chen, Yong Jie Ma, Wen Xia Yun

Keywords:

Improved Genetic Algorithm (IGA), Optimization, Parameter Setting, PID Controller

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References

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