Research on model predictive peak current control algorithm for real-time inductance Identification

Abstract

Compared with the traditional PI control, the current loop based on model predictive control has better dynamic performance and is widely used in the field of power electronic control. Peak current control (PCC) can conveniently protect the peak current of inductance, avoid the saturation of inductance, and easily realize the over-current protection of converter. In this paper, a model predictive peak current control algorithm for real time inductance identification is proposed for BOOST converter, and a method of double sampling peak current and valley current is proposed to realize real time identification of inductance value in a sampling period, which improves the dynamic performance and robustness of the algorithm. Simulation and experiment show that the proposed method can identify the inductance value in real time and track the reference value of the inductance current in two control periods.