Samir Ladaci
National Polytechnic School of Constantine, Algeria
Title: Fractional order cruise control strategies for an electric vehicle
Biography
Biography: Samir Ladaci
Abstract
Fractional order controllers are gathering more and more interests from the control community for their ability to enhance the system control quality performances and robustness. In this work we are investigating different fractional order control strategies for the cruise control of an electrical vehicle. We will use a fractional order model reference adaptive control (FOMRAC) algorithm, an optimized fractional order PID controller (FOPID) and a fractional order high gain controller to improve the vehicle behavior in presence of disturbances and uncertainties. We introduce new tuning parameters for the closed-loop system performance improvement. A numerical simulation of an application study for cruise control of an electric car is proposed. Electric vehicles (EVs) are becoming more popular these days and automobile manufacturers are introducing various types of EVs in the market. The main advantages of EVs are the emission elimination, low operating cost, high efficiency, simplicity and superior controllability over the power train. The EV power train consists of an electric motor, single or double speed transmission and the final drive unit. Our fractional adaptive control algorithm is applied to the cruise control of a DC motor driven electric vehicle. This system is developed for driving with constant speed on long stretched roads. We show through computer simulations that it is able to compensate the disturbances from the road grade and changes in the vehicle weight. The results illustrate the effectiveness and robustness of the proposed algorithm.