Double-Vector Model-Free Predictive Control Method for Voltage Source Inverter With Visualization Analysis

被引:42
作者
Jin, Nan [1 ]
Chen, Mo [1 ]
Guo, Leilei [1 ]
Li, Yanyan [1 ]
Chen, Yafei [1 ]
机构
[1] Zhengzhou Univ Light Ind, Sch Elect & Informat Engn, Zhengzhou 450002, Peoples R China
关键词
Robustness; Voltage control; Predictive control; Cost function; Analytical models; Predictive models; Visualization; Double-vector modulated predictive control (MPC); model-free control; sliding mode observer; ultralocal model; voltage source inverter (VSI); TORQUE CONTROL; PWM RECTIFIER; INDUCTANCE; STRATEGY;
D O I
10.1109/TIE.2021.3128905
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Strong parameter dependence and large current ripple are two shortcomings that obstruct the development of model predictive control for voltage source inverters (VSIs). To solve these problems, in this article,a double-vector model-free predictive control (MFPC) method for VSI with visualization analysis is proposed. First, the ultralocal model of the VSI is established and a full-order sliding model observer is designed to estimate the lumped disturbance. MFPC is achieved with enhanced parameter robustness. Then, a double-vector MFPC method is further proposed. By applying two vectors per control period, the current ripple is reduced significantly. A detailed visualization analysis method is proposed, which verifies the effectiveness of the proposed double-vector MFPC method in theory. Besides, the proposed visualization analysis method has the potential to be used to analyze the effectiveness of other types of multivector model predictive control method with different cost functions. Detailed comparative experimental studies verify the effectiveness of the proposed double-vector MFPC method.
引用
收藏
页码:10066 / 10078
页数:13
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