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直流无刷电机的建模与辨识

发表时间:2010-11-30  浏览量:1197  下载量:596
全部作者: 张兵,薛方正,李祖枢
作者单位: 重庆大学智能自动化研究所;重庆工学院人工智能研究所
摘 要: 通过分析无刷直流电机(brushless direct current motor,BLDCM)特有的转矩脉动特性,把无刷直流电机系统的模型简化成一个分时段的状态空间模型,进而根据实际电机的转速响应,利用改进的遗传算法对电机的模型参数进行精确辨识。为检验方法的有效性,对该模型和常用模型进行了对比验证性实验。实验结果表明:该模型和参数辨识方法建立的模型结构合理,参数辨识精度高。
关 键 词: 控制系统仿真技术;系统建模;遗传算法;脉动转矩;模型辨识
Title: Modeling and identification of brushless DC motor system
Author: ZHANG Bing, XUE Fangzheng, LI Zushu
Organization: Institute of Intelligent Automation, Chongqing University; Institute of Artificial Intelligence System, Chongqing Institute of Technology
Abstract: After researching of the special torque ripple of brushless direct current motor, the model of brushless direct current motor system has been reduced to a simple state space model which is mutative according to period of time. Further, based on the real rotate speed response, the improved genetic algorithm has been indicated to accurately identify model parameters. For verifying the validity of this method, experiments of comparing this model with other common model have been done. The results of experiments prove that the structure of the model is reasonable and parameters’ identification is precise.
Key words: control system simulation technology; system modeling; genetic algorithm; torque ripple; modeling identification
发表期数: 2010年11月第22期
引用格式: 张兵,薛方正,李祖枢. 直流无刷电机的建模与辨识[J]. 中国科技论文在线精品论文,2010,3(22):2365-2371.
 
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