A Study on PID Controller Parameter Optimization Based on Cell Membrane Computing

DOI

10.2991/icmmcce-17.2017.278How to use a DOI?

Keywords

PID Controller; Optimizing Control; BP Neural Network; Membrane Computing

Abstract

It is less likely to construct an exact mathematical mode as actual industrial processes are featured with non-linearity and uncertainty, which further causes the conventional PID controller to fail to achieve an ideal control effect. In this paper, a PID controller parameter optimization method was presented based on nested membrane algorithm. It focused on comparative studies on PID controller parameter optimization of BP neural network. In addition, an objective of optimization was realized through experimental simulation. The relevant experimental results indicated that such an algorithm not only improves stability of PID control system, but enhances characteristics of it, such as convergence and fast response, etc..

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  - JiaChang Xu
AU  - YouRui Huang
AU  - GuangYu Xu
PY  - 2017/09
DA  - 2017/09
TI  - A Study on PID Controller Parameter Optimization Based on Cell Membrane Computing
BT  - Proceedings of the 2017 5th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering (ICMMCCE 2017)
PB  - Atlantis Press
SP  - 1580
EP  - 1586
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmcce-17.2017.278
DO  - 10.2991/icmmcce-17.2017.278
ID  - Xu2017/09
ER  -