An RBF-based supervisory control strategy of a bidirectional DC-DC converter

In the battery energy storage equipment charge and discharge process, a bidirectional DC-DC converter connected to a battery is designed. The topology of the main circuit adopts the dual-half bridge parallel topology through the double closed-loop Space Vector Pulse Width Modulation (SVPWM) to control the closing and opening states of the switching device. The double closed-loop control system is designed for constant-voltage, constant-current charging and discharging processes and a Radical Basis Function (RBF) neural network supervisory control is introduced to optimize the traditional closed-loop system with Proportional-Integral (PI) regulation to achieve composite control in the system. The simulation model of a two-channel, bidirectional DC-DC converter control system is established by Simulink. Experimental results show that the performance of the converter under RBF supervisory control is good. Battery charge and discharge switching and constant-voltage, constant-current switching have good dynamic characteristics, the steady-state current voltage ripple is very small, and the waveform is smooth, with high reliability. © 2019, Chinese Institute of Electrical Engineering. All rights reserved.