دورية أكاديمية
Research on a PMSM control strategy for electric vehicles
العنوان: | Research on a PMSM control strategy for electric vehicles |
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المؤلفون: | Guangliang Liao, Wei Zhang, Chuan Cai |
المصدر: | Advances in Mechanical Engineering, Vol 13 (2021) |
بيانات النشر: | SAGE Publishing, 2021. |
سنة النشر: | 2021 |
المجموعة: | LCC:Mechanical engineering and machinery |
مصطلحات موضوعية: | Mechanical engineering and machinery, TJ1-1570 |
الوصف: | This paper proposes a novel state estimation based permanent magnet synchronous motor (PMSM) control method for electric vehicle (EV) driving. Firstly, a state feedback decoupling control with disturbance feed-forward (SFDCDF) is described. As motor angular speed and rotary angle are key information for the proposed control algorithm and park’s transformation, a novel observer based angular speed estimator (OBASE) is proposed for angular speed estimation. Moreover, an extended Kalman filter (EKF) based rotary angle estimator (EBRAE) is used for rotary angle estimation with information of the estimated angular speed. The convergence of angular speed estimation is proven through Lyapunov stability theory. Simulation results also indicate that the proposed algorithms can control PMSM torque, current, and angular speed to accurately follow reference values without severe fluctuation. In addition, in order to provide SFDCDF with load torque information, the OBASE is slightly modified to work as a vehicle load estimator (VLE) so PMSM responds more rapidly and speed fluctuates more slightly when the load suddenly changes. Then a series of hardware in the loop (HIL) simulations are carried out. Results indicate that the proposed control strategy can precisely estimate PMSM’s angular speed and rotor angle. Also, it can improve the driving performance of PMSM used on EVs. |
نوع الوثيقة: | article |
وصف الملف: | electronic resource |
اللغة: | English |
تدمد: | 1687-8140 16878140 |
العلاقة: | https://doaj.org/toc/1687-8140Test |
DOI: | 10.1177/16878140211051462 |
الوصول الحر: | https://doaj.org/article/4fc2bc70073448839860756fc5117293Test |
رقم الانضمام: | edsdoj.4fc2bc70073448839860756fc5117293 |
قاعدة البيانات: | Directory of Open Access Journals |
تدمد: | 16878140 |
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DOI: | 10.1177/16878140211051462 |