TY - GEN
T1 - Current Ripple Optimization Model Predictive Control for High-Speed Permanent Magnet Synchronous Motor with Flywheel Energy Storage
AU - Xu, Yiming
AU - Duan, Jiandong
AU - Wang, Luxiao
AU - Si, Xiang
AU - Zhang, Pengfei
AU - Li, Yuhui
AU - Shao, Bo
N1 - Publisher Copyright:
© Beijing Paike Culture Commu. Co., Ltd. 2025.
PY - 2025
Y1 - 2025
N2 - Flywheel energy storage system (FESS) high-speed permanent magnet synchronous motors (HPMSM) often use magnetic bearings. The motor rotor is susceptible to current ripples, resulting in vibration noise and even instability. In this paper, an improved model predictive control strategy is proposed to reduce the ripple current of the bus capacitor while optimizing the current of the HPMSM to reduce the vibration noise. Firstly, a three-vector finite set model predictive control algorithm is designed to solve the problem of large current ripple caused by the limited number of optional vectors in the control period of the traditional finite set model predictive algorithm. In order to reduce the number of switch state transitions and reduce the switching loss, a zero-vector optimization allocation strategy is proposed, which the zero vector at the end of the current control cycle is the same as the zero vector at the beginning of the next cycle. Then, according to the switching state of the motor side and the grid side converter, the bus capacitor current is predicted, a unified cost function including the bus capacitor current is established, and the optimal vectors of the motor side and the grid side are selected by comprehensive evaluation. Finally, the correctness is verified by simulation.
AB - Flywheel energy storage system (FESS) high-speed permanent magnet synchronous motors (HPMSM) often use magnetic bearings. The motor rotor is susceptible to current ripples, resulting in vibration noise and even instability. In this paper, an improved model predictive control strategy is proposed to reduce the ripple current of the bus capacitor while optimizing the current of the HPMSM to reduce the vibration noise. Firstly, a three-vector finite set model predictive control algorithm is designed to solve the problem of large current ripple caused by the limited number of optional vectors in the control period of the traditional finite set model predictive algorithm. In order to reduce the number of switch state transitions and reduce the switching loss, a zero-vector optimization allocation strategy is proposed, which the zero vector at the end of the current control cycle is the same as the zero vector at the beginning of the next cycle. Then, according to the switching state of the motor side and the grid side converter, the bus capacitor current is predicted, a unified cost function including the bus capacitor current is established, and the optimal vectors of the motor side and the grid side are selected by comprehensive evaluation. Finally, the correctness is verified by simulation.
KW - Back-to-back converter
KW - Current ripple optimization
KW - Flywheel energy storage high-speed synchronous motor
KW - Model predictive control
KW - Zero voltage vector allocation
UR - https://www.scopus.com/pages/publications/105000378219
U2 - 10.1007/978-981-96-1856-9_4
DO - 10.1007/978-981-96-1856-9_4
M3 - 会议稿件
AN - SCOPUS:105000378219
SN - 9789819618552
T3 - Lecture Notes in Electrical Engineering
SP - 28
EP - 39
BT - The Proceedings of 2024 International Conference of Electrical, Electronic and Networked Energy Systems
A2 - Sha, Aimin
A2 - Peng, Jishen
A2 - Rong, Cancan
A2 - Zhang, Li
A2 - Yan, XIaoheng
A2 - Jin, Zheming
PB - Springer Science and Business Media Deutschland GmbH
T2 - International Conference of Electrical, Electronic and Networked Energy Systems, EENES 2024
Y2 - 18 October 2024 through 20 October 2024
ER -