模型预测控制
控制理论(社会学)
参数统计
模块化设计
转换器
计算机科学
观察员(物理)
控制工程
工程类
控制(管理)
电压
数学
人工智能
电气工程
统计
操作系统
量子力学
物理
作者
Xing Liu,Lin Qiu,Wenjie Wu,Jien Ma,Youtong Fang,Zhouhua Peng,Dan Wang,José Rodríguez
标识
DOI:10.1109/tie.2022.3167135
摘要
An event-triggered control technique has been developed recently. This technique explicitly reduced the signal transmission by introducing a flexible design of threshold inequalities. It was later extended to event-triggered model-predictive control for power converter systems. In this letter, by incorporating this control technique into an extended state-observer-based finite-control-set model-predictive control framework, we have developed a new model-predictive control architecture for power converter systems with parametric uncertainties. Meanwhile, a novel cost function with respect to the angle minimization term is embedded into this proposal. The novelty of our development lies not only in integrating the event-triggered mechanism with the suggested finite-control-set model-predictive control architecture for facilitating the alleviation of performance deterioration caused by parameter variations and model uncertainties, but also in a multiobjective optimization design that allows the switching frequency in a low value. Finally, extensive simulative and experimental investigations for a modular multilevel converter confirm the interest and the viability of the proposed design methodology.
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