This article proposes an improved model predictive torque control (MPTC) strategy for switched reluctance motor (SRM) drives with candidate voltage vectors (CVVs) optimization, which can suppress the torque ripple effectively and enhance the system efficiency. This MPTC method is improved by three aspects. First, the flux linkage calculation is removed compared to conventional MPTC. Second, the electric cycle of SRM is divided into six sectors based on the ideal torque contribution profile and the commutation region of the motor is redefined. Finally, CVVs of each sector are adopted based on phase torque characteristics and the total number of CVVs is reduced to 2 or 3 at each control period. The cost function is designed for the torque ripple suppression and copper loss minimization by selecting the optimal voltage vector from CVVs. This improved MPTC method avoids mass useless computation compared to conventional MPTC and no longer relies on hysteresis control loops compared to direct torque control (DTC) method. In the simulation and experimental verification on a three-phase 12/8 SRM, the proposed MPTC method effectively reduces the torque ripple, improves the torque–ampere ratio and system efficiency, and improves dynamic response compared to DTC method.

中文翻译：

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具有候选电压矢量优化的开关磁阻电机改进模型预测转矩控制

本文针对具有候选电压矢量 (CVV) 优化的开关磁阻电机 (SRM) 驱动器提出了改进模型预测转矩控制 (MPTC) 策略，可有效抑制转矩脉动并提高系统效率。该MPTC方法在三个方面进行了改进。首先，与传统 MPTC 相比，删除了磁链计算。其次，基于理想的扭矩贡献曲线将SRM的电循环分为六个部分，并重新定义了电机的换向区域。最后，基于相转矩特性采用每个扇区的CVV，并且在每个控制周期将CVV的总数减少到2个或3个。成本函数旨在通过从 CVV 中选择最佳电压矢量来抑制转矩脉动和铜损最小化。与传统 MPTC 相比，这种改进的 MPTC 方法避免了大量无用的计算，并且与直接转矩控制 (DTC) 方法相比不再依赖于滞后控制回路。在三相 12/8 SRM 的仿真和实验验证中，所提出的 MPTC 方法有效地降低了转矩脉动，提高了转矩安培比和系统效率，并且与 DTC 方法相比提高了动态响应。