A State Feedback Model Predictive Control Method for DC Converters

Abstract

The invention discloses a DC converter state feedback model prediction control method. The method is characterized in that firstly, an output state differential equation established based on a DC converter circuit model is discretized to obtain a prediction model, and an output prediction value of a next control period is obtained; deviation between an actual output feedback value and the prediction value is adjusted by a PI controller and compensated to the output prediction value; two-step prediction is adopted, the compensated corrected prediction value is utilized to iterate one step forward to obtain an output prediction value of the converter at a (k+2)th control period, the prediction value is made to be equal to a given value, and the optimal control quantity Dk+1 of the DC converter to be applied in a (k+1)th control period under the control method is solved. The method is advantaged in that feedback correction is performed through utilizing the real-time information, prediction and optimization of the next step can be built on the more realistic basis, robustness of the converter is improved, the good dynamic effect is achieved, and digital implementation is easy.

Description

technical field [0001] The invention relates to a DC converter control method, in particular to a DC converter state feedback model predictive control method, which belongs to the technical field of power electronics. Background technique [0002] With the development of power electronics technology and new control theory, higher requirements are put forward for the dynamic response characteristics and anti-interference ability of DC converters. In the power electronic power supply system containing the DC converter, the control system is often required to have good control performance to achieve the purpose of fast response or stable output of the converter under conditions such as input and load changes. However, the traditional voltage loop control strategy based on PI controller will lead to poor dynamic characteristics of the converter due to its inherent hysteresis characteristics. Model predictive control (Model Predictive Control, MPC) has been widely researched and...

AI Technical Summary

Problems solved by technology

However, the traditional voltage loop control strategy based on PI controller will lead to poor dynamic characteristics of the converter due to its inherent hysteresis characteristics.

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