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Model Predictive Control of Power Electronic Systems: Methods, Results, and Challenges
IEEE Open Journal of Industry Applications Pub Date : 2020-08-28 , DOI: 10.1109/ojia.2020.3020184
Petros Karamanakos , Eyke Liegmann , Tobias Geyer , Ralph Kennel

Model predictive control (MPC) has established itself as a promising control methodology in power electronics. This survey paper highlights the most relevant MPC techniques for power electronic systems. These can be classified into two major groups, namely, MPC without modulator, referred to as direct MPC, and MPC with a subsequent modulation stage, known as indirect MPC. Design choices, and parameters that affect the system performance, closed-loop stability, and controller robustness are discussed. Moreover, solvers, and control platforms that can be employed for the real-time implementation of MPC algorithms are presented. Finally, the MPC schemes in question are assessed, among others, in terms of design, and computational complexity, along with their performance, and applicability depending on the power electronic system at hand.

中文翻译:

电力电子系统模型预测控制:方法,结果和挑战

模型预测控制(MPC)已将其自身确立为电力电子领域中一种有希望的控制方法。本调查报告重点介绍了与电力电子系统最相关的MPC技术。这些可以分为两个主要组,即没有调制器的MPC(称为直接MPC)和具有后续调制阶段的MPC(称为间接MPC)。讨论了影响系统性能,闭环稳定性和控制器鲁棒性的设计选择和参数。此外,介绍了可用于MPC算法的实时实现的求解器和控制平台。最后,根据设计,计算复杂性,性能和适用性等方面,对所讨论的MPC方案进行评估,具体取决于手边的电力电子系统。
更新日期:2020-09-18
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