Performance improvement of PMSM rotor position estimation by using adaptive hybrid filter based PLL
To achieve a satisfactory sensorless control performance of permanent magnetic synchronous machine (PMSM), an effective rotor position estimation method is a critical factor. As a useful tool for phase estimation technique, there exists extensive application of phase-locked loops (PLLs) in this task...
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2021
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oai:doaj.org-article:34254eb35b0f4aaaa457b214f16d49832021-11-26T04:32:25ZPerformance improvement of PMSM rotor position estimation by using adaptive hybrid filter based PLL2352-484710.1016/j.egyr.2021.08.011https://doaj.org/article/34254eb35b0f4aaaa457b214f16d49832021-11-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2352484721006156https://doaj.org/toc/2352-4847To achieve a satisfactory sensorless control performance of permanent magnetic synchronous machine (PMSM), an effective rotor position estimation method is a critical factor. As a useful tool for phase estimation technique, there exists extensive application of phase-locked loops (PLLs) in this task. Nevertheless, since harmonics are existed in the back electromotive force (EMF), the accuracy of position estimation method based on PLL is still low. In this paper, an adaptive hybrid filter based PLL is proposed to enhance the estimation performance. The proposed adaptive hybrid filter is frequency-adaptive, which means the performance is not affected under varying-speed operating conditions. Moreover, all the harmonic disturbances can be totally eliminated. The proposed method is validated under simulation. The results confirm the effectiveness of the proposed method.Linxin YuDazhi WangDi ZhengZhen LiuMengran JiElsevierarticlePhase-locked loopPMSMPosition estimationElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENEnergy Reports, Vol 7, Iss , Pp 515-521 (2021) |
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Phase-locked loop PMSM Position estimation Electrical engineering. Electronics. Nuclear engineering TK1-9971 |
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Phase-locked loop PMSM Position estimation Electrical engineering. Electronics. Nuclear engineering TK1-9971 Linxin Yu Dazhi Wang Di Zheng Zhen Liu Mengran Ji Performance improvement of PMSM rotor position estimation by using adaptive hybrid filter based PLL |
description |
To achieve a satisfactory sensorless control performance of permanent magnetic synchronous machine (PMSM), an effective rotor position estimation method is a critical factor. As a useful tool for phase estimation technique, there exists extensive application of phase-locked loops (PLLs) in this task. Nevertheless, since harmonics are existed in the back electromotive force (EMF), the accuracy of position estimation method based on PLL is still low. In this paper, an adaptive hybrid filter based PLL is proposed to enhance the estimation performance. The proposed adaptive hybrid filter is frequency-adaptive, which means the performance is not affected under varying-speed operating conditions. Moreover, all the harmonic disturbances can be totally eliminated. The proposed method is validated under simulation. The results confirm the effectiveness of the proposed method. |
format |
article |
author |
Linxin Yu Dazhi Wang Di Zheng Zhen Liu Mengran Ji |
author_facet |
Linxin Yu Dazhi Wang Di Zheng Zhen Liu Mengran Ji |
author_sort |
Linxin Yu |
title |
Performance improvement of PMSM rotor position estimation by using adaptive hybrid filter based PLL |
title_short |
Performance improvement of PMSM rotor position estimation by using adaptive hybrid filter based PLL |
title_full |
Performance improvement of PMSM rotor position estimation by using adaptive hybrid filter based PLL |
title_fullStr |
Performance improvement of PMSM rotor position estimation by using adaptive hybrid filter based PLL |
title_full_unstemmed |
Performance improvement of PMSM rotor position estimation by using adaptive hybrid filter based PLL |
title_sort |
performance improvement of pmsm rotor position estimation by using adaptive hybrid filter based pll |
publisher |
Elsevier |
publishDate |
2021 |
url |
https://doaj.org/article/34254eb35b0f4aaaa457b214f16d4983 |
work_keys_str_mv |
AT linxinyu performanceimprovementofpmsmrotorpositionestimationbyusingadaptivehybridfilterbasedpll AT dazhiwang performanceimprovementofpmsmrotorpositionestimationbyusingadaptivehybridfilterbasedpll AT dizheng performanceimprovementofpmsmrotorpositionestimationbyusingadaptivehybridfilterbasedpll AT zhenliu performanceimprovementofpmsmrotorpositionestimationbyusingadaptivehybridfilterbasedpll AT mengranji performanceimprovementofpmsmrotorpositionestimationbyusingadaptivehybridfilterbasedpll |
_version_ |
1718409833271525376 |