This paper proposes a novel deadbeat predictive torque control (DPTC) scheme to minimize the torque ripple of switched reluctance motor (SRM) drives. The proposed DPTC consists of torque inverse model and flux-linkage controller. The torque inverse model is used to realize the nonlinear mapping from the desired torque to the flux-linkage. On this basis, the flux-linkage controller predicts the required voltage for a given reference torque at each digital time step. Besides, an improved pulse width modulation (PWM) control is developed to offset the losses caused by power converter and winding resistance. And the digital delay in the actual implementation of the proposed DPTC algorithm is compensated through the estimation + prediction technology. Both simulation and experimental testing are carried out to verify the effectiveness of the proposed control scheme. The results show that the proposed DPTC method has better torque ripple suppression performance than the conventional direct torque control (DTC) scheme. © 2022 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.

中文翻译：

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一种用于开关磁阻电机驱动的新型预测转矩控制器

本文提出了一种新颖的无差拍预测转矩控制 (DPTC) 方案，以最大限度地减少开关磁阻电机 (SRM) 驱动器的转矩脉动。拟议的 DPTC 由转矩逆模型和磁链控制器组成。转矩逆模型用于实现从期望转矩到磁链的非线性映射。在此基础上，磁链控制器在每个数字时间步预测给定参考转矩所需的电压。此外，还开发了一种改进的脉宽调制 (PWM) 控制，以抵消由功率转换器和绕组电阻引起的损耗。并且通过估计+预测技术补偿了所提出的DPTC算法在实际实现中的数字延迟。进行了仿真和实验测试，以验证所提出的控制方案的有效性。结果表明，所提出的 DPTC 方法比传统的直接转矩控制 (DTC) 方案具有更好的转矩脉动抑制性能。© 2022 日本电气工程师协会。由 Wiley Periodicals LLC 出版。