A Type of Directly Self-adaptive PID Controller Based on Neural Network

DOI

10.2991/nceece-15.2016.271How to use a DOI?

Keywords

neural network; PID control; nonlinearity; learning algorithm

Abstract

A type of directly self-tuning PID controller based on neural network is proposed in this paper. Its main characteristic is that it no longer includes independent PID controller and put neural network and the law of PID controller together. Showing the learning algorithm of this neural network controller and analyzing the stability of this control system. The simulated results prove that this kind of control system is more adaptive and robust.

Copyright

© 2016, 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  - Chong Han
PY  - 2015/12
DA  - 2015/12
TI  - A Type of Directly Self-adaptive PID Controller Based on Neural Network
BT  - Proceedings of the 2015 4th National Conference on Electrical, Electronics and Computer Engineering
PB  - Atlantis Press
SP  - 1512
EP  - 1515
SN  - 2352-5401
UR  - https://doi.org/10.2991/nceece-15.2016.271
DO  - 10.2991/nceece-15.2016.271
ID  - Han2015/12
ER  -