系统仿真学报 ›› 2016, Vol. 28 ›› Issue (11): 2663-2669.doi: 10.16182/j.issn1004731x.joss.201611003

• 仿真建模理论与方法 • 上一篇    下一篇

基于实时修正函数模糊控制的BLDCM建模及仿真

邓元望, 曾俊   

  1. 湖南大学机械与运载工程学院,长沙 410082
  • 收稿日期:2015-04-13 修回日期:2015-06-09 出版日期:2016-11-08 发布日期:2020-08-13
  • 作者简介:邓元望(1967-),男,湖南安化,博士,研究方向为混合动力电动汽车;曾俊(1989-),男,河南信阳,硕士,研究方向为无刷直流电机控制。
  • 基金资助:
    湖南省工业支撑项目(2013gk2005),湖南省新型工业化专项(2012gk4009)

Modeling and Simulation of BLDCM Fuzzy Control System with Real-time Modification Function

Deng Yuanwang, Zeng Jun   

  1. School of Mechanical and Vehicle Engineering, Hunan University, Changsha 410082, China
  • Received:2015-04-13 Revised:2015-06-09 Online:2016-11-08 Published:2020-08-13

摘要: 在分析无刷直流电机(BLDCM, Brushless Direct Current Motor)数学模型的基础上,提出了一种BLDCM仿真模型建立的新方法在MATLAB中利用C MEX S-函数搭建无刷直流电机模型,仿真结果表明建模方法提高了仿真效率基于所建立的BLDCM仿真模型引进一个修正函数并建立了自调整模糊控制器,修正函数能根据动态误差和误差变化率实时调整模糊控制规则。自调整模糊控制器有6个调节参数,利用MATLAB自带的遗传算法工具箱离线组合优化这些参数,并将优化后的自调整模糊控制器和数字PI控制器以及基本模糊控制器对比仿真,结果表明带有修正函数的自调整模糊控制器具有最优的控制效果。

关键词: 无刷直流电机, 修正函数, 模糊控制规则, S-函数, 对比仿真

Abstract: Based on the analysis of the mathematical model of brushless direct current motor (BLDCM), a novel method for modeling of BLDCM was proposed. In MATLAB, the model of BLDCM was established by C MEX S-function, and the simulation results showed that the proposed method can enhance the simulation efficiency. Based on the modeling and simulation of BLDCM, a modification function was introduced and a self-turning fuzzy controller was built. According to the error and error rate of speed, the proposed modification function performed real-time regulation of fuzzy rules. There were six regulation parameters in the self-turning fuzzy controller, and these parameters could be optimized off-line by the genetic algorithm toolbox of MATLAB. Besides, a contrast simulation was performed among digital PI controller, basic fuzzy controller and the self-turning fuzzy controller with the optimized parameters, and simulation results indicateed that the last controller can provide the best control effect.

Key words: BLDCM, modification function, fuzzy control rule, S-function, contrast simulation

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