| 基于dSPACE的电动汽车电机调速控制策略研究 |
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| 引用本文： | 王维强,曾晓松,夏茂树,严运兵.基于dSPACE的电动汽车电机调速控制策略研究[J].航空动力学报,2018,45(8):86-90. |
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| 作者姓名： | 王维强 曾晓松 夏茂树 严运兵 |
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| 作者单位： | 武汉科技大学 汽车与交通工程学院,湖北 武汉430065,武汉科技大学 汽车与交通工程学院,湖北 武汉430065,武汉科技大学 汽车与交通工程学院,湖北 武汉430065,武汉科技大学 汽车与交通工程学院,湖北 武汉430065 |
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| 基金项目： | 国家自然科学基金项目(51505345)；湖北省教育厅基金项目(Q20151105)；“湖北省新能源汽车协同创新中心”合作建设项目 |
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| 摘 要： | 为了解决电动汽车无刷直流轮毂电机控制中普遍存在的调速不精确、转速响应慢和自适应性较差等问题,通过分析轮毂电机调速系统特性,研究其对电动汽车整车性能的影响。依据无刷直流电机(BLDCM)简化数学模型,从速度调节角度分析讨论了控制策略,并以电机转速响应迅速且稳定为控制目标,搭建了基于dSPACE的BLDCM快速控制原型试验平台,深入讨论了转速模糊PI控制策略对整车性能的影响。试验结果表明,模糊PI闭环控制策略能有效改善电机的调速性能,提高无刷直流轮毂电机电动汽车行驶的稳定性。
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| 关 键 词： | 永磁无刷电机 PI控制 模糊控制 dSPACE快速控制原型 |
| 收稿时间： | 2018/1/8 0:00:00 |
Research on the Control Strategy of Speed Governing ofElectric Vehicle Motor Based on dSPACE |
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| WANG Weiqiang,ZENG Xiaosong,XIA Maoshu and YAN Yunbing.Research on the Control Strategy of Speed Governing ofElectric Vehicle Motor Based on dSPACE[J].Journal of Aerospace Power,2018,45(8):86-90. |
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| Authors: | WANG Weiqiang ZENG Xiaosong XIA Maoshu and YAN Yunbing |
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| Institution: | School of Automobile and Traffic Engineering, Wuhan University of Science and Technology,Wuhan 430065, China,School of Automobile and Traffic Engineering, Wuhan University of Science and Technology,Wuhan 430065, China,School of Automobile and Traffic Engineering, Wuhan University of Science and Technology,Wuhan 430065, China and School of Automobile and Traffic Engineering, Wuhan University of Science and Technology,Wuhan 430065, China |
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| Abstract: | In order to solve the problem of imprecise speed adjustment, slow speed response and poor adaptability of electric vehicle permanent magnet brushless motor control, by analyzing the characteristics of wheel motor speed regulating system, the influence of the motor vehicle performance was studied. Based on the simplified mathematical model of permanent magnet brushless dc motor, the control strategy was discussed from the Angle of velocity adjustment. Aimed at fast and stable response of motor speed, the prototype experiment platform of permanent magnet brushless DC motor based on dSPACE was set up. The influence of fuzzy PI control strategy on vehicle performance was discussed. The experimental results showed that the fuzzy PI closedloop control strategy could improve the speed regulation performance of the motor and improve the traveling stability of hub motor electric vehicle with permanent magnet brushless DC motor. |
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| Keywords: | permanent magnet brushless motor PI control fuzzy control dSPACE rapid control prototype |
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