A Dynamically Efficient Predictive Controller for Voltage Stability in a DC to DC Boost Converter

Reliable voltage regulation has become a critical issue with increase demand in modern power electronic applications. This study presents a Model Predictive Controller (MPC) for voltage regulation in DC-to-DC boost converters. A closed loop analytical MPC framework is created with the purpose of computing optimal duty cycles to maintain a stable output voltage under varying load conditions, input changes, and disturbances. To evaluate the performance of the MPC we set the controller against a comparative analyzing with a traditional cascading proportional integral (PI) controller. The proposed controller design is specifically targeted to improve dynamic efficiency during the converter’s transient events. It allows the use of input duty cycle constraints, as well as predicted state trajectory constraint. Results showcase the control dynamic efficiency performance of both controllers under different scenarios regarding change in input voltage, voltage output regulation, and measured inductor current ripple.