PID Parameter Setting of Servo System based on Genetic Algorithm

Xia Quan-guo; Song Jun; Wang Mao-lin

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Paper

PID Parameter Setting of Servo System based on Genetic Algorithm

In Proceedings of the Information Science and Management Engineering III ISME - Volume 1, 7-10, 2015 , Sanya, China

Authors: Xia Quan-guo ; Song Jun and Wang Mao-lin

Affiliation: 92941 Unit, China

Keyword(s): Servo Control System, PID Controller, Genetic Algorithm, Error Functional Integration.

Abstract: In traditional servo control system design, heuristic algorithm is usually adopted to get PID controller parameters. This kind of method consumes long time, needs higher practical work experience, and depends on empirical formula or statistical data. So it is difficult to get good control performance. According to the principle of genetic algorithm, this paper determines optimization range with generalized Hermite -Biehler theorem, and designs the target function by error functional integration evaluation index. MATLAB simulation results show that the setting method is simple and practical, and can get a better control characteristic than the traditional methods.

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Paper citation in several formats:

Quan-guo, X.; Jun, S. and Mao-lin, W. (2015). PID Parameter Setting of Servo System based on Genetic Algorithm. In Proceedings of the Information Science and Management Engineering III - ISME; ISBN 978-989-758-163-2, SciTePress, pages 7-10. DOI: 10.5220/0006018100070010

@conference{isme15,
author={Xia Quan{-}guo. and Song Jun. and Wang Mao{-}lin.},
title={PID Parameter Setting of Servo System based on Genetic Algorithm},
booktitle={Proceedings of the Information Science and Management Engineering III - ISME},
year={2015},
pages={7-10},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006018100070010},
isbn={978-989-758-163-2},
}

TY - CONF

JO - Proceedings of the Information Science and Management Engineering III - ISME
TI - PID Parameter Setting of Servo System based on Genetic Algorithm
SN - 978-989-758-163-2
AU - Quan-guo, X.
AU - Jun, S.
AU - Mao-lin, W.
PY - 2015
SP - 7
EP - 10
DO - 10.5220/0006018100070010
PB - SciTePress