Model Predictive control for DC-DC Boost converter

A. Choubey, P. Padhy, S. K. Jain
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Abstract

A wide range applications of DC-DC boost converter always demanded a control technique with high performance to track the desired output voltage. Amongst all existing control techniques, the Model Predictive Control (MPC) has emerged as a promising solution for power converter control. The flexibility in selection of design parameters of MPC makes it suitable for different applications of boost converter. In this work state space average model of boost converter is taken for the simulation study. The MPC technique which includes PWM modulator is applied on converter model and the performance is compared with Ziegler Nicholas tuned classical PID controller. The voltage tracking by MPC controller is 6 times faster than PID controller. Further the effect of change in different design parameters of MPC on its performance is also presented. The simulation work is performed using MPC toolbox in MATLAB/Simulink platform.
DC-DC升压变换器的模型预测控制
DC-DC升压变换器的广泛应用一直要求一种高性能的控制技术来跟踪所需的输出电压。在所有现有的控制技术中,模型预测控制(MPC)已成为一种有前途的电源转换器控制解决方案。MPC设计参数选择的灵活性使其适用于升压变换器的不同应用。采用升压变换器的工作状态空间平均模型进行仿真研究。将包含PWM调制器的MPC技术应用于变换器模型,并与Ziegler Nicholas调谐的经典PID控制器进行性能比较。MPC控制器的电压跟踪速度是PID控制器的6倍。进一步分析了MPC不同设计参数的变化对其性能的影响。仿真工作采用MATLAB/Simulink平台的MPC工具箱进行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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