引用本文: | 张志文,赵健康,周腊吾,等.基于ILC算法和SVM调制的PMSM DTC控制[J].电力系统保护与控制,2017,45(19):63-70.[点击复制] |
ZHANG Zhiwen,ZHAO Jiankang,ZHOU Lawu,et al.PMSM DTC based on ILC algorithm and SVM modulation[J].Power System Protection and Control,2017,45(19):63-70[点击复制] |
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摘要: |
传统PMSM DTC通过预制开关电压表获得基本空间电压矢量的组合,转矩和转速的波动程度比较大。给出了PMSM SVM-DTC控制的基本理论,通过SVM调制得到最佳的电压矢量,保证逆变器开关频率的恒定以及对定子磁链偏差的有效补偿。为使PMSM转矩和转速脉动得到进一步改善,在SVM技术的基础上,再结合利用ILC算法构成迭代学习控制器,对系统转速误差进行在线补偿,将ILC算法和SVM技术共同作用于PMSM DTC控制系统中。仿真与实验结果表明这种改进方法在提高PMSM转矩和转速稳定程度上有比较好的效果,提高了控制系统的鲁棒性,从而证明了ILC算法改善PMSM转矩转速脉动的可行性。 |
关键词: PMSM DTC SVM-DTC SVM调制 迭代学习 ILC算法 |
DOI:10.7667/PSPC161628 |
投稿时间:2016-09-28修订日期:2016-12-20 |
基金项目:国家国际科技合作专项(2011DFA62890);国家自然科学基金资助(51477046) |
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PMSM DTC based on ILC algorithm and SVM modulation |
ZHANG Zhiwen,ZHAO Jiankang,ZHOU Lawu,YAN Xiaomin,AN Bainan |
(College of Electrical and Information Engineering, Hunan University, Changsha 410082, China;College of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha 410114, China) |
Abstract: |
There are big ripples in PMSM on torque and speed when using traditional DTC which gets the combination of the basic space voltage vector through the preset switch. This paper firstly presents the basic principles of PMSM SVM-DTC, ensuring the stability of the inverter switching frequency and effective compensation of stator flux bias by getting optimal voltage vector through SVM. In order to further improve PMSM torque and speed pulsation, on the basis of the SVM technology, it constructs iterative learning controller by ILC algorithm to compensate the system speed error online, and acts on PMSM DTC system. Through simulation and experiment, the results show the improved method has a good effect on improving the stability of torque and speed, enhancing the robustness of the system and verifying the feasibility of the ILC algorithm in improving torque and speed ripple for PMSM. This work is supported by International S & T Cooperation Program of China (ISTCP) (No. 2011DFA62890) and National Natural Science Foundation of China (No. 51477046). |
Key words: PMSM DTC SVM-DTC SVM modulation iterative learning ILC algorithm |