Abstract：In recent years,MPC is increasingly ubiquitous owing to its good control characteristic. This paper studied a Model Predictive Control (MPC) algorithm which is applied to a Switch-Inductor quasi Z-Source Inverter (SL-qZSI). This control method firstly achieved state variables of SL-qZSI and predictive model of output variables. Based on the model, the inductor current, capacitor voltage, and load current could be calculated. According to the control objective of multiple variables, cost function can be achieved and the minimum can be gained. The next switching state can be selected according to the minimum of cost fuction. The simulation results validate the effectiveness of the studied control method.
毛人杰, 李媛. 基于模型预测控制的开关电感准Z源逆变器研究[J]. 电气技术, 2018, 19(3): 8-11.
Mao Renjie, Li Yuan. Research on switched-inductor quasi Z-source inverter based on model predictive control method. Electrical Engineering, 2018, 19(3): 8-11.
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