Research on Intelligent Control of Electric Drive System

DOI

10.2991/emcs-17.2017.213How to use a DOI?

Keywords

Electric drive; Intelligence control; Fuzzy control; Single neuron control

Abstract

With the development of modern control theory, the general techniques of controller design is gradually replaced by artificial intelligence software technique be widely used. The common feature of the traditional general techniques and the artificial intelligence techniques is that different number and classes knowledge used for describing system performance are needed in them. Comparatively speaking, artificial intelligence software technique have more easy operation and better performance. The intelligent control of electric drive system has attracted much attention at present. This article elaborate all the general problems in this research direction systematically. This article explain the significance and method of adopting intelligence control in electric drive system at first, and then introduce the characteristics of fuzzy control and neuron control applied in electric drive system as two kinds of general intelligence control methods and provide the relevant experimental results.

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  - Ming Hu
PY  - 2017/03
DA  - 2017/03
TI  - Research on Intelligent Control of Electric Drive System
BT  - Proceedings of the 2017 7th International Conference on Education, Management, Computer and Society (EMCS 2017)
PB  - Atlantis Press
SP  - 1102
EP  - 1107
SN  - 2352-538X
UR  - https://doi.org/10.2991/emcs-17.2017.213
DO  - 10.2991/emcs-17.2017.213
ID  - Hu2017/03
ER  -