Speed Control of a Brushless DC Motor (BLDCM) Based on Fuzzy Gain-Adaptive PI

被引：0
|
作者：
Bouguerra, Abderrahmen [1 ]
Loukal, Keltoum [1 ]
Zeghlache, Samir [2 ]
机构：
[1] Mohamed Boudiaf Univ Msila, Fac Technol, Dept Elect Engn, LGE Res Lab, Msila, Algeria
[2] Mohamed Boudiaf Univ Msila, Fac Technol, Dept Elect Engn, LAAS Res Lab, Msila, Algeria
来源：
2017 10TH INTERNATIONAL CONFERENCE ON ELECTRICAL AND ELECTRONICS ENGINEERING (ELECO) | 2017年
关键词：
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper presents a comparison between a fuzzy gain adaptive controller and a conventional PI controller used for speed control of a Brushless DC motor (BLDCM) or electronically commutated (ECM). First, we establish a dynamic model for direct current to the input of the switch that the electromagnetic torque of BLDCM is proportional to this current. This model is intended to facilitate the procedures for setting and controlling the current, and an adaptive PI controller is proposed for the speed control of BLDCM in the presence of the variations parametric. A fuzzy-Type 1 inference system is used to adjust in real-time the controller gains. The obtained results show the efficacy of the proposed method.
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页码：216 / 221
页数：6
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