Study on PID Control System Based on Genetic Algorithms

DOI

10.2991/iccasm.2012.130How to use a DOI?

Keywords

Fuzzy Control, Genetic Algorithm, PID Control, Sewage Treatment

Abstract

As for the characteristics of hysteretic, nonlinear and time-varying after aeration process, the control of the dissolved oxygen concentration DO is as the mathematical model object, with the use of fuzzy PDI control strategy through the comparison among the MATLAB simulation, PDI control and the applicable results for the conventional fuzzy control strategy. Because the fuzzy control parameters of the fixed PDI can’t be guaranteed various conditions on the control effect of DO, thus, genetic algorithms can’t be automatically optimized several key parameters to design the fuzzy PDI control: the membership function, rule table of fuzzy control and the scale factor, then MATLAB simulation is carried out, with the comparison among the PDI control based on genetic algorithms, conventional fuzzy control strategy and the simulation results.

Copyright

© 2012, 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  - Linna Li
AU  - Wanbao Bo
AU  - Bin Jiang
PY  - 2012/08
DA  - 2012/08
TI  - Study on PID Control System Based on Genetic Algorithms
BT  - Proceedings of the 2012 International Conference on Computer Application and System Modeling (ICCASM 2012)
PB  - Atlantis Press
SP  - 510
EP  - 513
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccasm.2012.130
DO  - 10.2991/iccasm.2012.130
ID  - Li2012/08
ER  -