Study on Dahlin algorithm of Brushless DC motor based on Neural Network

DOI

10.2991/jimet-15.2015.133How to use a DOI?

Keywords

brushless DC motor Dahlin control neural network

Abstract

Brushless DC motor has the advantages of simple structure, reliable operation, convenient maintenance, high efficiency, no excitation loss and good speed regulation performance. Dahlin algorithm is to find a reasonable digital regulator D(z), which can make the closed-loop transfer function of the system is equivalent to a combination of an inertia link and a delay link, to achieve a good control effect.Brushless DC motor is a multi variable, strongly coupled nonlinear system, and the fixed parameters of Dahlin regulator can not get ideal control performance index. In this paper, as the control object, the brushless DC motor is based on the BP neural network, and the Dahlin controller based on neural network for brushless DC motor is designed.

Copyright

© 2015, 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  - Zilong Huang
AU  - Dan Wang
AU  - Lele Xi
AU  - Yankai Shen
PY  - 2015/12
DA  - 2015/12
TI  - Study on Dahlin algorithm of Brushless DC motor based on Neural Network
BT  - Proceedings of the 2015 Joint International Mechanical, Electronic and Information Technology Conference
PB  - Atlantis Press
SP  - 715
EP  - 720
SN  - 2352-538X
UR  - https://doi.org/10.2991/jimet-15.2015.133
DO  - 10.2991/jimet-15.2015.133
ID  - Huang2015/12
ER  -