利用 ADRC 和 IMP 对开关磁阻电机进行基于周期干扰抑制的控制，以有效降低纹波。

IF 6.3 2区计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS

ISA transactions Pub Date : 2025-03-17 DOI:10.1016/j.isatra.2025.03.007

Carlos Vergara-Ramírez , John Cortés-Romero , Horacio Coral-Enriquez

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引用次数: 0

摘要

本文提出了一种结合自抗扰（ADR）控制和内模原理（IMP）的控制方案，以减小开关磁阻电机（SRMs）变速运行时的纹波。控制体系结构包括两个阶段：基于误差的电流回路自抗扰控制和速度控制的周期扰动抑制（ADR+IMP）方案。后一阶段利用两个关键的SRM特性：信号和干扰的周期性行为，以及转矩脉动的角域周期性性质。实验验证在实验室测试台上使用3阶段12/8 SRM进行，其中所提出的方法被系统地应用。结果表明，该控制方案在变速度剖面下实现了显著的纹波减小。

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Periodic disturbance rejection-based control of Switched Reluctance Motors Using ADRC and IMP for effective ripple reduction

This paper proposes a control scheme that combines Active Disturbance Rejection (ADR) Control and the Internal Model Principle (IMP) to reduce ripple in Switched Reluctance Motors (SRMs) operating at variable speeds. The control architecture consists of two stages: an error-based ADRC for current loops and a periodic disturbance rejection (ADR+IMP) scheme for velocity control. The latter stage exploits two key SRM characteristics: the periodic behavior of signals and disturbances, and the angular-domain periodic nature of torque ripple. Experimental validation is performed on a laboratory test-bed using a 3-phase 12/8 SRM, where the proposed methodology is systematically applied. Results demonstrate the effectiveness of the control scheme in achieving significant ripple reduction under variable velocity profiles.

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来源期刊

ISA transactions 工程技术-工程：综合

CiteScore

11.70

自引率

12.30%

发文量

824

审稿时长

4.4 months

期刊介绍： ISA Transactions serves as a platform for showcasing advancements in measurement and automation, catering to both industrial practitioners and applied researchers. It covers a wide array of topics within measurement, including sensors, signal processing, data analysis, and fault detection, supported by techniques such as artificial intelligence and communication systems. Automation topics encompass control strategies, modelling, system reliability, and maintenance, alongside optimization and human-machine interaction. The journal targets research and development professionals in control systems, process instrumentation, and automation from academia and industry.