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多电平逆变器的模型预测控制:挑战、最新进展与趋势

Model-Predictive Control of Multilevel Inverters: Challenges, Recent Advances, and Trends

语言:

中文摘要

模型预测控制(MPC)在电力电子领域,特别是多电平逆变器(MLI)的多目标控制中展现出巨大潜力。过去二十年,研究重点在于优化MPC性能,解决计算负载、建模精度、代价函数设计及权重因子选择等技术挑战。

English Abstract

Model-predictive control (MPC) has emerged as a promising control method in power electronics, particularly for multiobjective control problems such as multilevel inverter (MLI) applications. Over the past two decades, improving the performance of MPC and tackling its technical challenges, such as computational load, modeling accuracy, cost function design, and weighting factor selection, have att...
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SunView 深度解读

MPC技术对阳光电源的核心产品线具有深远影响。在大型集中式逆变器及PowerTitan等储能变流器(PCS)中,多电平拓扑被广泛应用以提升效率和电能质量。MPC能够有效处理多目标约束(如开关频率优化、中点电位平衡及谐波抑制),是提升系统动态响应的关键。建议研发团队关注MPC的计算复杂度优化算法,以适配低成本控制器,并探索其在构网型(GFM)控制策略中的应用,从而增强阳光电源产品在弱电网环境下的稳定运行能力。