A DPS-PLL based rotor position estimation method for permanent magnet wind turbine
Aiming at the problem of slow response and low tracking accuracy in the synchronous reference frame phase-locked loop (SRF-PLL) estimation of the permanent magnet synchronous generator (PMSG) rotor position when the wind speed changes suddenly, a rotor position estimation method based on the discret...
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2021
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oai:doaj.org-article:c25e2a8df4674f59b6d6cba8291c7f192021-11-26T04:32:30ZA DPS-PLL based rotor position estimation method for permanent magnet wind turbine2352-484710.1016/j.egyr.2021.08.013https://doaj.org/article/c25e2a8df4674f59b6d6cba8291c7f192021-11-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2352484721006181https://doaj.org/toc/2352-4847Aiming at the problem of slow response and low tracking accuracy in the synchronous reference frame phase-locked loop (SRF-PLL) estimation of the permanent magnet synchronous generator (PMSG) rotor position when the wind speed changes suddenly, a rotor position estimation method based on the discrete position set phase-locked loop(DPS-PLL) is proposed. The estimated position in certain moment is selected from a discretized alternative position set. Then, combined with sliding mode observer, rotor position is obtained by calculating back-EMF cost function. The experimental results demonstrate the rotor position and speed can be detected accurately under sudden change of wind speed. The convergence time of estimation is within 42 ms. The estimated error of rotor position is less than 0.03 rad. The results show that the proposed method provides a satisfactory dynamic performance and strong disturbance rejection ability.Linxin YuDazhi WangZhen LiuDi ZhengWenhui LiElsevierarticlePermanent magnet synchronous generatorSliding mode observerRotor positionPhase-locked loopElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENEnergy Reports, Vol 7, Iss , Pp 502-507 (2021) |
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Permanent magnet synchronous generator Sliding mode observer Rotor position Phase-locked loop Electrical engineering. Electronics. Nuclear engineering TK1-9971 |
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Permanent magnet synchronous generator Sliding mode observer Rotor position Phase-locked loop Electrical engineering. Electronics. Nuclear engineering TK1-9971 Linxin Yu Dazhi Wang Zhen Liu Di Zheng Wenhui Li A DPS-PLL based rotor position estimation method for permanent magnet wind turbine |
description |
Aiming at the problem of slow response and low tracking accuracy in the synchronous reference frame phase-locked loop (SRF-PLL) estimation of the permanent magnet synchronous generator (PMSG) rotor position when the wind speed changes suddenly, a rotor position estimation method based on the discrete position set phase-locked loop(DPS-PLL) is proposed. The estimated position in certain moment is selected from a discretized alternative position set. Then, combined with sliding mode observer, rotor position is obtained by calculating back-EMF cost function. The experimental results demonstrate the rotor position and speed can be detected accurately under sudden change of wind speed. The convergence time of estimation is within 42 ms. The estimated error of rotor position is less than 0.03 rad. The results show that the proposed method provides a satisfactory dynamic performance and strong disturbance rejection ability. |
format |
article |
author |
Linxin Yu Dazhi Wang Zhen Liu Di Zheng Wenhui Li |
author_facet |
Linxin Yu Dazhi Wang Zhen Liu Di Zheng Wenhui Li |
author_sort |
Linxin Yu |
title |
A DPS-PLL based rotor position estimation method for permanent magnet wind turbine |
title_short |
A DPS-PLL based rotor position estimation method for permanent magnet wind turbine |
title_full |
A DPS-PLL based rotor position estimation method for permanent magnet wind turbine |
title_fullStr |
A DPS-PLL based rotor position estimation method for permanent magnet wind turbine |
title_full_unstemmed |
A DPS-PLL based rotor position estimation method for permanent magnet wind turbine |
title_sort |
dps-pll based rotor position estimation method for permanent magnet wind turbine |
publisher |
Elsevier |
publishDate |
2021 |
url |
https://doaj.org/article/c25e2a8df4674f59b6d6cba8291c7f19 |
work_keys_str_mv |
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_version_ |
1718409865458614272 |