Parameters Identification of a Permanent Magnet DC Motor: A Review

被引:12
作者
Fazdi, Mohamad Farid [1 ]
Hsueh, Po-Wen [1 ]
机构
[1] Natl Kaohsiung Univ Sci & Technol, Dept Mechatron Engn, 1 Univ Rd, Kaohsiung 824, Taiwan
关键词
DC motor; least squares method; differential evolution; particle swarm optimization methods; cuckoo search; metaheuristic; parameter estimation; PARTICLE SWARM OPTIMIZATION; ARTIFICIAL BEE COLONY; HYBRID DIFFERENTIAL EVOLUTION; CUCKOO SEARCH; ALGORITHM;
D O I
10.3390/electronics12122559
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Since permanent magnet direct current (DC) motors are mainly used in various industrial automation applications, the demand for electric motors is increasing rapidly. However, in the mass production of electric motors, often, only random inspections are used to check the specifications and performance of electric motors. For manufacturing or engineering application staff to have a more thorough understanding of the characteristics of the motor, it is necessary to conduct a full or quick inspection during the production process to ensure the quality of the electric motor. Based on this, this literature review reveals several methods and algorithms often used to estimate DC motor parameters, given the importance of knowing the parameters of the DC motor and the lack of research on estimating the parameters of the DC motor.
引用
收藏
页数:24
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