Extended Order High Gain Observer Based Model Predictive Control Of An Electric Vehicle

Abstract

In this research, firstly, a feedback control (FC) is designed for the dynamics control of an electric vehicle (EV) due to its simplicity to check for the behaviour or response of the system. Three driving styles are chosen by considering the launch condition of an EV, and dynamics are controlled for aggressive, normal, and calm conditions. A high gain observer (HGO) is designed to robustly estimate the system states. The use of HGO can estimate the states but not the load disturbances. The extended high gain observer (EHGO) is designed to estimate the external load disturbances to provide high robustness. A Model Predictive Controller (MPC) is used to optimize and set limitations on the system so that the states remain in the prescribed ranges. The proposed approach for controller and observer authentication is verified using MATLAB simulations. The results show that EHGO, in combination with MPC, is resistant to external disturbances and errors, making it suitable for practical implementation in an EV