控制理论(社会学)
模型预测控制
微电网
工程类
积分器
电阻抗
PID控制器
电压
对偶(语法数字)
控制工程
控制(管理)
计算机科学
温度控制
人工智能
艺术
文学类
电气工程
作者
Linglin Chen,Fei Gao,Ke Shen,Zhenyu Wang,Luca Tarisciotti,Patrick Wheeler,Tomislav Dragičević
出处
期刊:IEEE Transactions on Industrial Electronics
[Institute of Electrical and Electronics Engineers]
日期:2020-10-01
卷期号:67 (10): 8944-8956
被引量:67
标识
DOI:10.1109/tie.2020.2965460
摘要
Dual-active-bridge (DAB) enabled dc microgrids stabilization is investigated in this article. DAB has two control objectives: load current regulation and the dc-bus voltage stabilization. In multiobjective control applications, the conventional proportional integrator (PI)-based controllers face challenges in the control loop coordination. The saturation of the loops largely deteriorate the control performance. Moreover, the system impedance has to be measured before designing the active damping control. In this article, a moving discretized control set—model predictive control (MDCS-MPC) is proposed for DAB. The proposed MDCS-MPC is inherently a good choice for multiobjective control. It provides several advantages, such as a good tradeoff between two control objectives and adaptive performance on system impedance. The evaluation and comparison of the proposed MDCS-MPC and PI are carried out. Experiments on a 270–270V, 20 kHz, 1 kW DAB converter are conducted to verify the theoretical claims.
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