Optimization of PID Parameters Based on Ant Colony Genetic Hybrid Algorithm

DOI

10.2991/icmmct-17.2017.250How to use a DOI?

Keywords

PID control; ant colony algorithm; genetic algorithm; parameter optimization

Abstract

Aiming at the disadvantage of slow convergence and low efficiency of genetic algorithm, ant colony algorithm is easy to fall into the local optimal solution. The optimization of PID parameters based on ant colony genetic hybrid algorithm is proposed. At last, in order to prove the effectiveness and feasibility of the algorithm, in the experiment simulation, the ant colony genetic algorithm The hybrid algorithm is compared with the traditional Z-N method and ant colony algorithm, and the conclusion is given at the end of the paper.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - GaiLian Zhang
PY  - 2017/04
DA  - 2017/04
TI  - Optimization of PID Parameters Based on Ant Colony Genetic Hybrid Algorithm
BT  - Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)
PB  - Atlantis Press
SP  - 1285
EP  - 1292
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-17.2017.250
DO  - 10.2991/icmmct-17.2017.250
ID  - Zhang2017/04
ER  -