Robust and optimal control of longitudinal dynamics of automotive vehicle

Abstract

This paper describes the modeling and controlling of longitudinal vehicle model. State space averaging is used to get the nominal model of vehicle, while bond graph methodology is adopted to model the actuator dynamics of the vehicle. Robust control theory is applied to modify the nominal model to standard format used for parametric and multiplicative input uncertainties. H∞ control technique is adopted to control the states of the model in the presence of uncertainties and disturbance. Concept of servo mechanism is used to check velocity-tracking performance, while μ analysis is performed on the controlled model to check the robust stability and robust performance of the model.