| 433 | 5 | 162 |
| 下载次数 | 被引频次 | 阅读次数 |
为了提高永磁同步电机的调速性能，滑模控制逐渐取代PI控制被引入控制系统中。但是传统滑模控制中趋近律的趋近速度慢与固有抖振问题制约着滑模控制的发展，为此提出一种改进的滑模趋近律。首先，为了解决传统等速趋近律中趋近速度和抖振难以平衡的问题，在所提趋近律中引入系统状态变量，并在滑模增益中引入指数项，使其在保证趋近速度的同时抑制滑模抖振。其次，由于开关函数在零点附近具有不连续的特性，会引起滑模抖振，为此采用sat函数代替常规开关函数，能够在保证响应速度的前提下抑制滑模抖振。然后，基于所提趋近律，设计永磁同步电机的滑模速度控制器。最后，仿真和实验结果表明，所提趋近律可以提高永磁同步电机调速系统的控制性能。
Abstract：In order to improve the speed regulation performance of PMSM, sliding mode control was gradually introduced into the control system instead of PI control. However, the development of sliding mode control was constrained due to the slow approaching speed and inherent chattering issues of the approach law in traditional sliding mode control. Therefore, an improved sliding mode approach law was proposed. Firstly, in order to solve the problem of difficult balance between approaching speed and chattering in traditional constant velocity approaching laws, the system state variable was introduced in the proposed approaching law, and an exponential term was introduced in the sliding mode gain to ensure the approaching speed while suppressing sliding mode chattering. Secondly, due to the discontinuous nature of the switching function near to zero, it could cause sliding mode chattering problem. Therefore, the conventional switching function was replaced by the sat function, achieving the goal of suppressing sliding mode chatter while ensuring response speed. Then, based on the proposed approach law, a sliding mode speed controller for permanent magnet synchronous motors was designed. Finally, simulation and experimental results indicated that the proposed approach law could improve the control performance of the permanent magnet synchronous motor speed control system.
[1] 张震，沈学珂，程欣.永磁同步电机全速范围内无位置传感器控制[J].郑州大学学报(工学版),2019,40(2):35-40.ZHANG Z,SHEN X K,CHENG X.Sensorless control of permanent magnet synchronous motor in full speed range[J].Journal of Zhengzhou university (engineering science),2019,40(2):35-40.
[2] 高逍男，陈希有.一种改进的永磁同步电机模型预测控制[J].电力自动化设备，2017,37(4):197-202,217.GAO X N,CHEN X Y.Improved model predictive control of permanent magnet synchronous motor[J].Electric power automation equipment,2017,37(4):197-202,217.
[3] 朱磊，温旭辉，赵峰，等.永磁同步电机弱磁失控机制及其应对策略研究[J].中国电机工程学报，2011,31(18):67-72.ZHU L,WEN X H,ZHAO F,et al.Control policies to prevent PMSMs from losing control under field-weakening operation[J].Proceedings of the CSEE,2011,31(18):67-72.
[4] 王伟华，肖曦，丁有爽.永磁同步电机改进电流预测控制[J].电工技术学报，2013,28(3):50-55.WANG W H,XIAO X,DING Y S.An improved predictive current control method for permanent magnet synchronous motors[J].Transactions of China electrotechnical society,2013,28(3):50-55.
[5] MOON H T,KIM H S,YOUN M J.A discrete-time predictive current control for PMSM[J].IEEE transactions on power electronics,2003,18(1):464-472.
[6] 史婷娜，张典林，夏长亮，等.基于遗传整定的永磁交流伺服系统模糊免疫PID控制器[J].电工技术学报，2008,23(7):45-50.SHI T N,ZHANG D L,XIA C L,et al.Fuzzy-immune-PID controller based on genetic tuning for permanent magnet AC servo control system[J].Transactions of China electrotechnical society,2008,23(7):45-50.
[7] DU B C,WU S P,HAN S L,et al.Application of linear active disturbance rejection controller for sensorless control of internal permanent-magnet synchronous motor[J].IEEE transactions on industrial electronics,2016,63(5):3019-3027.
[8] 张希，陈宗祥，潘俊民，等.永磁直线同步电机的固定边界层滑模控制[J].中国电机工程学报，2006,26(22):115-121.ZHANG X,CHEN Z X,PAN J M,et al.Fixed boundary layer sliding mode control of permanent magnet linear synchronous motor[J].Proceedings of the CSEE,2006,26(22):115-121.
[9] ZHOU Z Q,XIA C L,YAN Y,et al.Torque ripple minimization of predictive torque control for PMSM with extended control set[J].IEEE transactions on industrial electronics,2017,64(9):6930-6939.
[10] HOU L M,MA J H,WANG W.Sliding mode predictive current control of permanent magnet synchronous motor with cascaded variable rate sliding mode speed controller[J].IEEE access,2022,10:33992-34002.
[11] WANG Y Q,ZHU Y C,ZHANG X G,et al.Antidisturbance sliding mode-based deadbeat direct torque control for PMSM speed regulation system[J].IEEE transactions on transportation electrification,2021,7(4):2705-2714.
[12] 武志涛，李帅，程万胜.基于扩展滑模扰动观测器的永磁直线同步电机定结构滑模位置跟踪控制[J].电工技术学报，2022,37(10):2503-2512.WU Z T,LI S,CHENG W S.Fixed structure sliding mode position tracking control for permanent magnet linear synchronous motor based on extended sliding mode disturbance observer[J].Transactions of China electrotechnical society,2022,37(10):2503-2512.
[13] 郑美茹，王圣，王丰，等.基于分数阶次符号函数的永磁同步电机滑模控制技术[J].电工技术学报，2017,32(9):56-62.ZHENG M R,WANG S,WANG F,et al.The sliding-mode control based on fractional order sign function of permanent magnet synchronous motor[J].Transactions of China electrotechnical society,2017,32(9):56-62.
[14] 魏惠芳，王丽梅.永磁直线同步电机自适应模糊神经网络时变滑模控制[J].电工技术学报，2022,37(4):861-869.WEI H F,WANG L M.Adaptive fuzzy neural network time-varying sliding mode control for permanent magnet linear synchronous motor[J].Transactions of China electrotechnical society,2022,37(4):861-869.
[15] 王要强，朱亚昌，冯玉涛，等.永磁同步电机新型趋近律滑模控制策略[J].电力自动化设备，2021,41(1):192-197.WANG Y Q,ZHU Y C,FENG Y T,et al.New reaching law sliding mode control strategy for permanent magnet synchronous motor[J].Electric power automation equipment,2021,41(1):192-197.
[16] 王要强，冯玉涛，秦明，等.表贴式永磁同步电机全阶滑模观测与控制策略[J].电工技术学报，2018,33(24):5688-5699.WANG Y Q,FENG Y T,QIN M,et al.Full-order sliding mode observation and control strategy for surface permanent magnet synchronous motor[J].Transactions of China electrotechnical society,2018,33(24):5688-5699.
[17] 张晓光.永磁同步电机调速系统滑模变结构控制若干关键问题研究[D].哈尔滨：哈尔滨工业大学，2014.ZHANG X G.Research on key issueses of permanent magnet sysnchronous motor sliding mode speed control system[D].Harbin:Harbin Institute of Technology,2014.
[18] 赵仙花，夏宇敬，高兴超，等.基于自适应滑模观测器的PMSM无传感器控制[J].农业装备与车辆工程，2021,59(12):84-87.ZHAO X H,XIA Y J,GAO X C,et al.Sensorless control for PMSM based on adaptive sliding mode observer[J].Agricultural equipment & vehicle engineering,2021,59(12):84-87.
基本信息:
DOI：10.13705/j.issn.1671-6841.2023136
中图分类号:TP273;TM341
引用信息:
[1]王要强,王秋旭,聂福全,等.基于自适应滑模控制器的PMSM调速策略研究[J].郑州大学学报(理学版),2025,57(01):88-94.DOI:10.13705/j.issn.1671-6841.2023136.
基金信息:
国家自然科学基金项目(51507155); 河南省重点研发与推广专项项目(222102520001)
2023-06-09
2023
2025-01-27
2025
2024-12-04
2
2024-02-07
2024-02-07
2024-02-07