Suppressing Torque Ripple of PMa-SRM Based on Variable Hysteresis Threshold in Sub-Divided Region.

Saved in:
Bibliographic Details
Title: Suppressing Torque Ripple of PMa-SRM Based on Variable Hysteresis Threshold in Sub-Divided Region.
Authors: Zhu, Junwu1, Xu, Junxin1 xujx9997@163.com, Chen, Yan1
Source: Progress in Electromagnetics Research C. 2026, Vol. 168, p64-74. 11p.
Subjects: Pulse width modulation, Switched reluctance motors, Optimization algorithms, Back propagation, Torque control
Abstract: To address the issue of significant torque ripple in traditional direct instantaneous torque control strategies for permanent magnet assisted switched reluctance motors, which stems from the use of fixed hysteresis thresholds, this paper proposes a variable hysteresis threshold pulse width modulation (PWM) method based on subdivided regions. First, based on the torque-current ratio curve features, the two-phase exchange (TpE) region is subdivided into two-phase exchange I (TpE I) and two-phase exchange II (TpE II), using the angle of equal torque-current ratio as the dividing point. PWM control was applied within these two intervals to ensure a smoother transition of the total torque during commutation. Second, the hysteresis threshold is optimized by a BP neural network tuned via the dung beetle optimizer (DBO) algorithm under different speeds and loads, thereby enhancing the system's flexibility. Finally, simulations and experiments were performed using a 6/20 three-phase permanent magnet-assisted switched reluctance motor. Experimental results show that the torque ripple is reduced from 30.4% to 11% under 500 r/min and 5 N · m, and PWM with a variable hysteresis threshold can effectively suppress torque ripple. [ABSTRACT FROM AUTHOR]
Copyright of Progress in Electromagnetics Research C is the property of Electromagnetics Academy and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
Description
Abstract:To address the issue of significant torque ripple in traditional direct instantaneous torque control strategies for permanent magnet assisted switched reluctance motors, which stems from the use of fixed hysteresis thresholds, this paper proposes a variable hysteresis threshold pulse width modulation (PWM) method based on subdivided regions. First, based on the torque-current ratio curve features, the two-phase exchange (TpE) region is subdivided into two-phase exchange I (TpE I) and two-phase exchange II (TpE II), using the angle of equal torque-current ratio as the dividing point. PWM control was applied within these two intervals to ensure a smoother transition of the total torque during commutation. Second, the hysteresis threshold is optimized by a BP neural network tuned via the dung beetle optimizer (DBO) algorithm under different speeds and loads, thereby enhancing the system's flexibility. Finally, simulations and experiments were performed using a 6/20 three-phase permanent magnet-assisted switched reluctance motor. Experimental results show that the torque ripple is reduced from 30.4% to 11% under 500 r/min and 5 N · m, and PWM with a variable hysteresis threshold can effectively suppress torque ripple. [ABSTRACT FROM AUTHOR]
ISSN:19378718
DOI:10.2528/PIERC26012501