A novel predictive control based management strategy considering smart PHEV in digital twin simulation

Abstract

A combined layout predictive control and H2 / H∞ control is proposed using gain-scheduled control rules for DC-DC boost converters (DDBCs) fed through constant power load (CPL) for improving the stability of the DC bus voltage during extensive disturbances considering the DC loads such as plug-in hybrid electric vehicle (PHEV) demands. Accordingly, to track the reference signal, linear parameter variables with bounded disturbances are applied to express its kinematic error. In this method, the linear matrix inequality (LMI) statuses for the error following layout are solved for the purpose of stabilizing the controller. Afterward, stability constraints have been defined so that the LMI auxiliary variables may be regarded as upper bounds. Furthermore, by allowing more free matrices, conservatism could be reduced. Lastly, the suggested controller has been validated theoretically by a simulation test with a variety of operational conditions, and the performance and efficiency of the controller has been proven. The suggested method can track reference signals with a low steady-state error in different scenarios such as; alternation in the CPL’s desired power; alternation in reference voltage signal; alternation in input voltage. This has been done in solar-based energy systems using digital twin simulation.