|本期目录/Table of Contents|

[1]李万敏,李新勇,王 彦,等.电动汽车永磁同步电机控制策略研究[J].工业仪表与自动化装置,2018,(03):30-35.[doi:1000-0682(2018)03-0000-00]
 LI Wanmin,LI Xinyong,WANG Yan,et al.Research on control strategy on permanent magnet synchronous motor for electric vehicle[J].Industrial Instrumentation & Automation,2018,(03):30-35.[doi:1000-0682(2018)03-0000-00]
点击复制

电动汽车永磁同步电机控制策略研究

《工业仪表与自动化装置》[ISSN:1000-0682/CN:61-1121/TH]

卷:
期数:
2018年03期
页码:
30-35
栏目:
出版日期:
2018-06-15

文章信息/Info

Title:
Research on control strategy on permanent magnet synchronous motor for electric vehicle
作者:
李万敏13李新勇2王 彦1 曾贤灏1杨昀梓1
1.兰州工业学院 汽车工程学院,兰州 730050;?
2.常熟理工学院 机械工程学院,江苏 常熟 215500;3.长安大学 汽车学院,西安 710064
Author(s):
LI Wanmin13LI Xinyong2WANG Yan1ZENG Xianhao1YANG Yunzi1
1. School of Automobile Engineering, Lanzhou Institute of Technology, Lanzhou 730050,China;2. School of Mechanical Engineering, Changshu Institute of Technology, Jiangsu Changshu 215500, China;3. School of Automobile, Chang’an University, Xi’an 710064, China
关键词:
电动汽车永磁同步电机自适应模糊PID控制仿真
Keywords:
electric vehicle permanent magnet synchronous motor adaptive fuzzy PID control simulation
分类号:
U464.9+3
DOI:
1000-0682(2018)03-0000-00
文献标志码:
A
摘要:
针对电动汽车永磁同步电机控制系统工作时,存在精度低、抗干扰能力弱等问题,在分析永磁同步电机数学模型的基础上,搭建驱动电机双闭环调速控制系统模型,引入了自适应模糊PID控制方法。利用MATLAB/Simulink实现了系统的设计和仿真。结果表明:在同等环境下,相比较普通PID控制,系统应用自适应模糊PID控制方法具有更好抗干扰能力,在应用到电动汽车驱动当中有良好的速度跟随性和适应性。
Abstract:
Aiming at solving such problems as low precision and poor anti-interference ability in the operation of the permanent magnet synchronous motor(PMSM) control system for electric vehicles, the author firstly analyzes the permanent magnet synchronous motor in terms of a mathematical model, then establishes a double closed-loop speed control system model of driving motor. finally an adaptive fuzzy PID control method is proposed, whose design and simulation are realized by using MATLAB/Simulink. The results indicate that in the same environment, the adaptive fuzzy PID control method proves to possess better anti-interference ability than the ordinary PID control, and its application in the electric vehicle driving can guarantee a good following performance and adaptability.

参考文献/References:

[1] 郭宗莲,孙玉萍.不对称永磁同步电机级联直接转矩控制策略[J].电气传动,2017,47(12):

[2] 王丰元,谢宪毅,何建勇,等.电动汽车电机双闭环差速控制策略研究[J].计算机仿真,2015,32(12):107-112.
[3] Song Z, Jianqiu L I, Ouyang M, et al. Rule-based Fault Diagnosis of Hall Sensors and Fault-tolerant Control of PMSM[J]. Chinese Journal of Mechanical Engineering, 2013, 26(4):813-822.
[4] 郭伟,郁雯雯,夏友亮,等.无刷直流电机转速控制策略仿真研究[J].计算机仿真,2015,32(9):372-376.
[5] 王军,冯能莲,张春强,等.无刷直流电机模糊与PI双闭环调速系统的研究[J].安徽农业大学学报,2016, 43(4):662-666.
[6] 侯春杰.基于遗传算法的无刷直流电机自适应模糊控制[D].河南科技大学,2013.
[7] 马立丽,朱明星.电动汽车用永磁同步电动机弱磁控制系统研究[J].电气传动自动化,2016,38(3):13-16.
[8] 刘秋生,吕欣,谭妍玮,等.基于自适应模糊PID方法的轮毂无刷直流电机控制与仿真[J].四川理工学院学报(自然科学版),2015(01):25-30.
[9] 刘瑞.基于GGAP-RBF神经网络的纯电动客车蓄电池建模研究[D].西安:长安大学,2015.
[10] 丁有爽,肖曦.永磁同步电机直接驱动柔性负载控制方法[J].电工技术学报,2017,32(4):123-132.
[11] Li Jie, Ren Haipeng, Zhong Yanru. Robust speed control of induction motor drives using first-order auto- disturbance rejection controllers[J].IEEE Transactions on Industry Applications,2015,51(1):712-720.
[12] Li Wanmin, Gu Menglu, Wei Lulu. Speed Control Simulation of the Electric Vehicle Driving Motor[J]. International Journal of Performability Engineering,2017, 13(7): 1140-1146.
[13] Premkumar K, Manikandan B V. Adaptive Neuro-Fuzzy Inference System based speed controller for brushless DC motor[J].Neurocomputing,2014,138:260-270.
[14] 崔家瑞,李擎,张波,等.永磁同步电机变论域自适应模糊PID控制[J].中国电机工程学报,2013,33(z1):190-194.
[15] 侯春杰,张雷,孟令瑞.无刷直流电机自适应模糊控制器的设计[J].微电机,2013,46(10):44-47.

相似文献/References:

[1]张明光,周 君.含电动汽车及光伏发电的微电网控制策略研究[J].工业仪表与自动化装置,2015,(06):113.
 ZHANG Mingguang,ZHOU Jun.A control strategy study for electric vehicles and PV in microgrid[J].Industrial Instrumentation & Automation,2015,(03):113.
[2]杨会玲.PMSM自抗扰控制算法研究[J].工业仪表与自动化装置,2016,(01):11.
 YANG Huiling.The research on active disturbances rejection control algorithm of PMSM[J].Industrial Instrumentation & Automation,2016,(03):11.
[3]朱春颖,沈海军,吴晓飞,等.电动汽车智能有序充电模式[J].工业仪表与自动化装置,2016,(04):75.
 ZHU Chunying,SHEN Haijun,WU Xiaofei,et al.The electric car orderly intelligent charging mode[J].Industrial Instrumentation & Automation,2016,(03):75.
[4]陈若珠,何 婷,常 勇.永磁同步电机模型预测控制的现状与发展[J].工业仪表与自动化装置,2017,(03):20.
 CHEN Ruozhu,HE Ting,CHANG Yong.Present situation and prospect of model predictive control application in permanent magnet synchronous motor[J].Industrial Instrumentation & Automation,2017,(03):20.
[5]李伟生,张继龙,漆建平.基于动态分时电价的电动汽车有序充放电研究[J].工业仪表与自动化装置,2017,(04):46.
 LI Weisheng,ZHANG Jilong,QI Jianping.A dynamic time-of-use price based order for charging and discharging of electric vehicles[J].Industrial Instrumentation & Automation,2017,(03):46.
[6]董星言,杨金波,胡小龙.无传感器永磁同步电机控制策略研究[J].工业仪表与自动化装置,2018,(02):8.[doi:1000-0682(2018)02-0000-00]
 DONG Xingyan,YANG Jinbog,HU Xiaolong.Research on the control strategy of the sensorless permanent magnet synchronous motor[J].Industrial Instrumentation & Automation,2018,(03):8.[doi:1000-0682(2018)02-0000-00]
[7]邓孝祥,王鑫鑫,李 鹏,等.超级电容器储能在电动汽车中的应用研究[J].工业仪表与自动化装置,2018,(06):48.[doi:1000-0682(2018)06-0000-00]
 DENG Xiaoxiang,WANG Xinxin,LI Peng,et al.Research on the application of super capacitor energy storage in electric vehicle[J].Industrial Instrumentation & Automation,2018,(03):48.[doi:1000-0682(2018)06-0000-00]
[8]王 琨,高敬更,张勇红,等.基于LSTM神经网络的复合变量电动汽车充电负荷预测方法技术研究[J].工业仪表与自动化装置,2019,(01):27.[doi:1000-0682(2019)01-0000-00]
 WANG Kun,GAO Jinggeng,ZHANG Yonghong,et al.Study on forecasting method of charging load of hybrid variable electric vehicle based on LSTM neural network[J].Industrial Instrumentation & Automation,2019,(03):27.[doi:1000-0682(2019)01-0000-00]
[9]高敬更,李 项,张勇红,等.基于PSO算法的电动汽车电能计量优化[J].工业仪表与自动化装置,2019,(02):49.[doi:1000-0682(2019)02-0000-00]
 GAO Jinggeng,LI Xiang,ZHANG Yonghong,et al.An electric vehicle energy metering optimization based on particle swarm optimization[J].Industrial Instrumentation & Automation,2019,(03):49.[doi:1000-0682(2019)02-0000-00]
[10]高敬更,王 琨,王兴贵,等.一种电动汽车充电站三相电压自动平衡充电系统[J].工业仪表与自动化装置,2019,(04):27.[doi:1000-0682(2019)04-0000-00]
 GAO Jinggeng,WANG Kun,WANG Xinggui,et al.Three-phase voltage automatic balance charging system for electric vehicle charging station[J].Industrial Instrumentation & Automation,2019,(03):27.[doi:1000-0682(2019)04-0000-00]

备注/Memo

备注/Memo:
收稿日期:2018-02-05
基金项目:甘肃省高等学校科研项目(2017A-110;2016A-100);兰州工业学院青年科技创新项目(16K-004)
作者简介:李万敏(1984),男,甘肃兰州人,硕士,讲师,主要研究方向为电动车驱动控制。
更新日期/Last Update: 2018-06-15