학술논문

Model Predictive Torque Control of Switched Reluctance Machine based on Torque-balanced Measurement and Flux-based Torque Estimation
Document Type
Conference
Source
2021 24th International Conference on Electrical Machines and Systems (ICEMS) Electrical Machines and Systems (ICEMS), 2021 24th International Conference on. :867-872 Oct, 2021
Subject
Fields, Waves and Electromagnetics
Power, Energy and Industry Applications
Transportation
Torque
Atmospheric modeling
Current measurement
Torque control
Predictive models
Reluctance machines
Mathematical models
Switched Reluctance Machine
Torque Estimation
Model Predictive Torque Control
Torque-balanced Measurement
Language
ISSN
2642-5513
Abstract
Due to inherently double salient structure and saturated magnetic circuit, the switched reluctance machines (SRMs) can generate unacceptable torque ripple, which limits their application for more electric aircraft (MEA). This paper presents a low-measurement effort but effective method to reduce torque ripple. First, a torque-balance measurement method is presented to obtain the partial flux-linkage characteristics. Then, a mathematic model is proposed to describe the entire flux-linkage and torque characteristics. Based on the proposed mathematic model, a novel model predictive torque control is implemented to minimize the torque ripple with flux-based torque estimation. Simulation and experimental results verify the effectiveness of the proposed method.