Based on Neural Network PID Controller Design and Simulation

DOI

10.2991/iccia.2012.205How to use a DOI?

Keywords

PID controller, BP neural network, temperature control system

Abstract

The technologic of PID control is very conventional. There is an extensive application in many fields at present. The PID controller is simple in structure, strong in robustness, and can be understood easily. Then neural networks have great capability in solving complex mathematical problems since they have been proven to approximate any continuous function as accurately as possible. Hence, it has received considerable attention in the field of process control. Due to the complication of modern industrial process and the increase of nonlinearity, time-varying and uncertainty of the practical production processes, the conventional PID controller can no longer meet our requirement. This paper introduces the theoretical foundation of the BP neural network and studying algorithm of the neural network briefly, and designs the PID temperature control system and simulation model based on BP neural network.

Copyright

© 2013, 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  - Hao Xu
AU  - Jingang Lai
AU  - Zhenhong Yu
AU  - Jiaoyu Liu
PY  - 2014/05
DA  - 2014/05
TI  - Based on Neural Network PID Controller Design and Simulation
BT  - Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)
PB  - Atlantis Press
SP  - 844
EP  - 846
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccia.2012.205
DO  - 10.2991/iccia.2012.205
ID  - Xu2014/05
ER  -