Model-Free Predictive Control of Motor Drives: A Review

CES Transactions on Electrical Machines and Systems Pub Date : 2025-01-29 DOI:10.30941/CESTEMS.2025.00002

Chenhui Zhou;Yongchang Zhang;Haitao Yang

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Abstract

Model predictive control (MPC) has been deemed as an attractive control method in motor drives by virtue of its simple structure, convenient multi-objective optimization, and satisfactory dynamic performance. However, the strong reliance on mathematical models seriously restrains its practical application. Therefore, improving the robustness of MPC has attained significant attentions in the last two decades, followed by which, model-free predictive control (MFPC) comes into existence. This article aims to reveal the current state of MFPC strategies for motor drives and give the categorization from the perspective of implementation. Based on this review, the principles of the reported MFPC strategies are introduced in detail, as well as the challenges encountered in technology realization. In addition, some of typical and important concepts are experimentally validated via case studies to evaluate the performance and highlight their features. Finally, the future trends of MFPC are discussed based on the current state and reported developments.

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电机驱动的无模型预测控制：综述

模型预测控制（MPC）以其结构简单、多目标优化方便、动态性能好等优点被认为是一种有吸引力的电机驱动控制方法。然而，对数学模型的依赖严重制约了其实际应用。因此，近二十年来，提高MPC的鲁棒性受到了极大的关注，随之而来的是无模型预测控制（MFPC）。本文旨在揭示电机驱动MFPC策略的现状，并从实施的角度对其进行分类。在此基础上，详细介绍了已报道的MFPC策略的原理，以及在技术实现中遇到的挑战。此外，通过案例研究对一些典型和重要的概念进行了实验验证，以评估其性能并突出其特点。最后，结合MFPC的现状和相关报道，对其未来发展趋势进行了展望。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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CES Transactions on Electrical Machines and Systems

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