Discrete-time slip control algorithms for a hybrid electric vehicle

Abstract

This thesis develops a discrete-time sliding mode control scheme for a slip control of a hybrid electric vehicle. In order to handle different road conditions, fuzzy logic technique is employed to develop control of slip ratio. A discrete-time Sliding mode observer is also designed to estimate the vehicle velocity online. Furthermore, in order to cope up with changing slip dynamic for varying road conditions an Adaptive sliding mode control has been designed by employing Lyapunov theory. The performances of developed adaptive sliding mode control, Sliding mode control and Fuzzy logic control for slip ratio are compared through extensive Matlab simulation and it is observed that the discrete time Fuzzy adaptive sliding mode control perform effectively.