Proceedings of the 3rd International Conference on Computer Science and Service System

Research of Permanent Magnetic Brushless DC Motor Fuzzy Self-adaptive PID Controller Based on Matlab / Simulink

Authors
Xuejie Wang, Peng Wang, Ying Lou
Corresponding Author
Xuejie Wang
Available Online June 2014.
DOI
10.2991/csss-14.2014.167How to use a DOI?
Keywords
BLDC; Simulink; Fuzzy PID controller; adaptive
Abstract

The permanent magnet brushless DC (BLDC) motor is a typical Multiple variables, nonlinear system. In this paper, the fuzzy control technique was applied to the BLDC control system, realization of traditional PID controller parameters on line adjustment, the BLDC double closed loop speed regulation system modeling and fuzzy controller for the traditional PID controller optimization effect has been completed by using the power electronic simulation database and fuzzy control toolbox. The simulation results show that: the dynamic performance of the system is improved and the system overshoot diminished at the same time by comparing the Fuzzy PID controller with the traditional PID controller.

Copyright
© 2014, 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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Volume Title
Proceedings of the 3rd International Conference on Computer Science and Service System
Series
Advances in Intelligent Systems Research
Publication Date
June 2014
ISBN
978-94-6252-012-7
ISSN
1951-6851
DOI
10.2991/csss-14.2014.167How to use a DOI?
Copyright
© 2014, 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/).

Cite this article

TY  - CONF
AU  - Xuejie Wang
AU  - Peng Wang
AU  - Ying Lou
PY  - 2014/06
DA  - 2014/06
TI  - Research of Permanent Magnetic Brushless DC Motor Fuzzy Self-adaptive PID Controller Based on Matlab / Simulink
BT  - Proceedings of the 3rd International Conference on Computer Science and Service System
PB  - Atlantis Press
SP  - 718
EP  - 720
SN  - 1951-6851
UR  - https://doi.org/10.2991/csss-14.2014.167
DO  - 10.2991/csss-14.2014.167
ID  - Wang2014/06
ER  -