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Research on speed control of sensorless brushless DC (BLDC) motors based on improved fuzzy-PI control

Authors:

Yuze Jiang,

Guangjie Fu,

Zhenyu LiangAuthors Info & Claims

ICCIR '22: Proceedings of the 2022 2nd International Conference on Control and Intelligent Robotics

Pages 49 - 53

https://doi.org/10.1145/3548608.3561138

Published: 14 October 2022 Publication History

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Abstract

This paper aims to present a fuzzy-PI control method to improve the adjustment for speed, overshoot, speed range, and resistance to load disturbance for sensorless brushless DC (BLDC) motor control system. We use PI control under large errors, fuzzy control under small errors, and PI control is further improved by segmental limit. After comparison and simulation using Matlab, it was found that the system has excellent stability in a wide range of speed regulation. The results show the effectiveness and superiority of our proposed method, which lays the foundation for improved control of sensorless BLDC motors.

References

[1]

Tan J. C.: Permanent magnet brushless DC motor technology, Beijing: China Machine Press, 2012.

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Zhao Z., Li L. B.: Research of Voltage Feed-forward Compensation Control for Permanent Magnet Brushless DC Motors, Control and Instruments in Chemical Industry. 2012, 39(2): 167–174.

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Li C., Yin W. Q, Feng X. B., Zhang W.: Brushless DC motor stepless speed regulation system based on fuzzy adaptive PI controller, Journal of Mechanical & Electrical Engineering. 2012, 29(1): 49–52.

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Lei J. L., Dou M. F.: Self-Learning Fuzzy PI Control of Permanent Magnet Brushless DC Motor, Small & Special Electrical Machines. 2013, 41(3): 36–39.

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Zhu Z. Y, Yu S. M., Shi J. P.: Modeling and simulation on Simulink for three-phase asynchronous motor based on fuzzy-PI control, Journal of Mechanical & Electrical Engineering. 2012, 29(1): 53–57.

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Research on speed control of sensorless brushless DC (BLDC) motors based on improved fuzzy-PI control
1. Computing methodologies
  1. Artificial intelligence

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ICCIR '22: Proceedings of the 2022 2nd International Conference on Control and Intelligent Robotics

June 2022

905 pages

ISBN:9781450397179

DOI:10.1145/3548608

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 14 October 2022

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ICCIR 2022

ICCIR 2022: 2022 2nd International Conference on Control and Intelligent Robot

June 24 - 26, 2022

Nanjing, China

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Overall Acceptance Rate 131 of 239 submissions, 55%

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Abstract

References

Recommendations

Brushless DC Motors Control Based on Smith Predictor Modified by Fuzzy-PI Controller

Sensorless speed control for DC permanent magnetic motors

180-Degree Commutation System of Permanent Magnet Brushless DC Motor Drive Based on Speed and Current Control

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