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基于模糊超螺旋滑模算法的电动汽车永磁同步电机无速度传感器

Sensorless Permanent Magnet Synchronous Motor for Electric Vehicle Based on Fuzzy Super-Spiral Sliding Mode Algorithm

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【作者】 宋超; 徐宇; 仁乐天; 刘德君;

【Author】 SONG Chao;XU Yu;REN Letian;LIU Dejun;College of Electrical and Information Engineering,Beihua University;Engineering Training Center of Beihua University;

【通讯作者】 刘德君;

【机构】 北华大学电气与信息工程学院; 北华大学工程训练中心;

【摘要】 针对传统超螺旋滑模算法(Super Twisting Sliding Mode Control, STSMO)永磁同步电机(PMSM)无速度传感器存在的转速抖动和鲁棒性差问题,提出超螺旋算法与模糊控制相结合的永磁同步电机转速观测方法,并进行仿真试验.运用模糊规则解决超螺旋算法中边界函数上界获取困难的问题;利用模糊算法输出增益,提高系统鲁棒性,抑制抖动.仿真试验表明:应用该算法,控制系统的超调量为4%,滞后时间约为0.002 9 ms,调节时间为0.015 s.该算法具有收敛速度快、抖振小、估算精度高等优点.

【Abstract】 In order to solve the problem of speed jitter and poor robustness of sensorless permanent magnet synchronous motor(PMSM) based on the traditional Super Twisting Sliding Mode Control(STSMO) algorithm, this paper presents a novel method of speed measurement for permanent magnet synchronous motor based on super-spiral algorithm and fuzzy control.The fuzzy rules are used to solve the problem of obtaining the upper bound of the boundary function in the superhelix algorithm, and the fuzzy algorithm is used to output the gain and improve the robustness of the system to suppress the jitter.The simulation results show that the overshoot of the control system is 4%,the lag time is about 0.002 9 ms and the regulation time is 0.015 s, it has the advantages of fast convergence, small chattering and high estimation accuracy.

【基金】 吉林省教育厅科学技术研究项目(JJKH20210042KJ,2015148);北华大学自然科学横向课题(BHKJ211008-1);北华大学研究生创新项目(2022006)
  • 【文献出处】 北华大学学报(自然科学版) ,Journal of Beihua University(Natural Science) , 编辑部邮箱 ,2023年01期
  • 【分类号】TM341;U469.72
  • 【下载频次】61
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