PID Parameter Setting of Servo System based on Genetic Algorithm

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

2015

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.

References

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Paper Citation


in Harvard Style

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 - Volume 1: ISME, ISBN 978-989-758-163-2, pages 7-10. DOI: 10.5220/0006018100070010


in Bibtex Style

@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 - Volume 1: ISME,},
year={2015},
pages={7-10},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006018100070010},
isbn={978-989-758-163-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Information Science and Management Engineering III - Volume 1: 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