Title: Robust MRAS speed control of hybrid electric vehicle using sliding-mode and fuzzy-logic adaptation mechanism
Authors: Anil Kumar Yadav; Prerna Gaur
Addresses: Netaji Subhas Institute of Technology, New Delhi, India ' Netaji Subhas Institute of Technology, New Delhi, India
Abstract: In this paper model reference adaptive system (MRAS) with two adaptation techniques are proposed for speed control of electric vehicle (EV), which is achieved by controlling the throttle position. The first proposed adaptation scheme is sliding mode (SM), which is based on Lyapunov theory of stability and the second adaptation mechanism is based on fuzzy-logic (FL) technique. The dominant pole-based reference models (RMs) are designed that give the desired performance of the vehicle. These two adaptation techniques are developed to achieve robust performance of the nonlinear vehicle with the target to improve fuel economy, reduced pollution, improved driving safety and reduced manufacturing cost. A detailed comparison between the proposed and conventional schemes is also carried out. In this paper a robust proportional integral (PI) controller is designed using Kharitonov theorem and also determines the stability margin of linearised system.
Keywords: fuzzy logic; Kharitonov theorem; robust stability; sliding mode control; SMC; model reference adaptive system; MRAS; hybrid electric vehicles; HEVs; hybrid vehicles; robust control; speed control; vehicle speed; fuel economy; pollution reduction; emissions reduction; driving safety; manufacturing cost; proportional integral control; PI control; controller design.
International Journal of Powertrains, 2015 Vol.4 No.2, pp.106 - 125
Received: 16 Dec 2013
Accepted: 02 Jun 2014
Published online: 03 Jul 2015 *