Di Liu, Yunsheng Fan, Jian Liu, Guofeng Wang, Dexin Sun
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引用次数: 0
Abstract
This article presents an improved deadbeat indirect torque control (ITC) method for switched reluctance motors (SRMs) with the primary goal of reducing torque ripple. The proposed control approach comprises two parts: a torque-to-current conversion scheme that the proposed method achieves excellent current and a deadbeat controller (DBC). In the conversion scheme, a second-order SRM Fourier-series model is constructed by integrating the current vector decomposition method. Subsequently, an iterative learning controller (ILC) is designed based on this model to achieve precise conversion from the electromagnetic torque to the q-axis current, which eliminates the need for additional modeling processes. Within the proposed DBC controller, a novel recursive least squares (RLS) estimator is introduced to effectively tackle the issue of model variations. This integration enables the adaptive calibration of the predictive model, ultimately guaranteeing optimal performance in the current control. Furthermore, the consistency of the model employed in both the DBC and conversion scheme empowers the RLS to further refine the accuracy of torque-to-current conversion, thereby improving torque ripple suppression performance. Comparative experiments are conducted on a 12/8 SRM to evaluate the proposed control method’s performance. The experimental results show that the proposed method achieves excellent current tracking and torque ripple suppression performance in SRM drives.
期刊介绍:
ournal of Electrical Engineering and Technology (JEET), which is the official publication of the Korean Institute of Electrical Engineers (KIEE) being published bimonthly, released the first issue in March 2006.The journal is open to submission from scholars and experts in the wide areas of electrical engineering technologies.
The scope of the journal includes all issues in the field of Electrical Engineering and Technology. Included are techniques for electrical power engineering, electrical machinery and energy conversion systems, electrophysics and applications, information and controls.