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
