Adaptive Barrier-based Robust Integral Backstepping Controller for Plugin hybrid electric vehicle

Abstract

Plugin hybrid electric vehicles (PHEVs) are acquiring the attention of transportation industries due to their clean energy storage system. The power subsystem of PHEV includes the charger and hybrid energy storage system (HESS). It is required to have an efficient control algorithm which ensures the regulation of DC bus voltage by tracking the desired currents of multiple power sources in HESS of PHEV. In this paper, modified robust controller named as adaptive barrier function-based robust integral back stepping (BA-IBSMC) has been designed for the control of PHEV in the presence of time-varying external disturbance of unknown upper bound. The proposed controller removes the problem of overestimation of adaptive gains which was the drawback of conventional robust integral back stepping-based controller (IBSMC). The proposed controller regulates the DC bus voltage by tracking the desired currents of power sources and is proved to be robust against external disturbances of unknown upper bound. Moreover, energy management algorithm has been proposed to enhance the stability of the system in G2V mode. Power factor has been corrected by bringing the grid current in phase with grid voltage. Lyapunov stability criterion is used to validate the stability of the system. The proposed controller is simulated in MATLAB where it is compared with the conventional robust integral back stepping controller. It is shown that the designed controller shows good dynamic performance than the conventional one with enhanced robustness against external disturbances. Hardware in the loop-based experimental verification has been done using MS320F28379D dual-core microcontroller which proves the effectiveness of the designed controller