Mechanical characteristics of brushless DC motors under non-ideal conditions
Authors: 
Jianhua Qin, Jie Chen, Xu Yan, Jiyan CaoAuthors Info & Claims
Jianhua Qin, Jie Chen, Xu Yan, Jiyan CaoAuthors Info & ClaimsPages 535 - 542
Abstract
BLDCM has the advantages of convenient adjustment speed, high efficiency, simple overall structure, strong stability, etc. In recent years, the demand in transportation production, medical equipment, office appliances and special fields has increased. Therefore, the machinery of brushless DC motor has been studied. Characteristics, so as to improve the mechanical performance of the brushless DC motor is very important. This paper proposes a hybrid research method combining multiple methods. By deducing the relevant formulas and mathematical models of BLDCM, the BLDCM system simulation model is formed by MATLAB software, and finally some processes that are ignored in the process of establishing the mathematical model of the motor are reconstructed. Analysis, by changing the voltage, winding resistance, electrical angle and other variables, observe the impact on the mechanical characteristics of the motor, and provide a theoretical basis for improving and optimizing the performance of the motor.
References
[1]
Yukun Zhan. Principle of BLDC Motor and Digital Control [J], 2010 (22): 151--152.
[2]
Jingyu Li, Shen huanquan, mu Weibin. working principle of DC brushless motor [J], 2009, (2): 109--110.
[3]
Zicheng Li. Research on Key Technologies of Sensorless Control of Brushless DC Motor [D], 2010.
[4]
Pengfei Xu. Paremetric Design and Mechanical Analysis of Mechanical Structure of Peremanent Magnet Brushless DC Motor [D], 2018.
[5]
Yong Yang, Dai Meiling. Simulation Research of Permanent Magnet Brushless DC Motor [J], Electrical appliance industry, 2018 (03): 72--78.
[6]
Guoyu Wang. Design and Simulation Research of BLDC Motor Control System Based on STM32 [D], 2016.
[7]
Yue X L, Bai P. Modeling and Simulation of Brushless DC Motor Speed Control System Based on MATLAB/SIMULINK[J]. Advanced Materials Research, 2014, 998--999:755--758.
[8]
D s Sun, X Cheng, X q Xia. Research of Novel Modeling and Simulation Approach of Brushless DC Motor Control System[C], 2010.
[9]
Guilin T, Zhou M Z, Hushuang L.Modeling and simulation of permanent magnet brushless DC motor allowing for damping windings[C], 2004.
[10]
Ji Hui Li, Li Qiang Ma, Gong Cheng, equal. Modeling and Simulation of Control System For Brushless DC Motor[C], 2008.
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Published In
April 2020
640 pages
ISBN:9781450376457
DOI:10.1145/3436286
- Conference Chairs:
- M. James C. Crabbe,
- Rita Yi Man Li,
- Rebecca Kechen Dong,
- Otilia Manta,
- Ubaldo Comite
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Association for Computing Machinery
New York, NY, United States
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Published: 04 January 2021
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ISBDAI '20
ISBDAI '20: 2020 2nd International Conference on Big Data and Artificial Intelligence
April 28 - 30, 2020
Johannesburg, South Africa
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Overall Acceptance Rate 70 of 340 submissions, 21%
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