Title: Fractional-order model-based robust identification for a vehicle semi-active electro-rheological suspension system

Authors: Yamina Ali-Larnene; Samir Ladaci; Aissa Belmeguenai

Addresses: Department of Electrical Engineering, University of 20th August 1955, Skikda 21000, Algeria ' Department of Automatics, Ecole Nationale Polytechnique, Elharrach, Algiers 16200, Algeria ' Department of Electrical Engineering, University of 20th August 1955, Skikda 21000, Algeria

Abstract: In this paper, we consider the identification of a semi-active electro-rheological (ER) suspension system. We propose a linear fractional order model in order to represent the nonlinear quarter-car model equipped with the dynamic nonlinear model of ER damper. The objective is to reduce the effects of road profile disturbance and output measurement noise (two acceleration of spring mass and unsprung mass). Simulation results show the effectiveness of fractional order system comparatively to the integer order model used in practice. In fact, the fractional order allows a better compromise between the two outputs performance in the suspension system providing a new degree of freedom for the designer.

Keywords: semi-active suspension system; electro-rheological; ER; fractional order model; disturbance; identification; nonlinear system.

DOI: 10.1504/IJAMECHS.2024.139173

International Journal of Advanced Mechatronic Systems, 2024 Vol.11 No.2, pp.111 - 119

Received: 13 Aug 2023
Accepted: 10 Dec 2023
Published online: 24 Jun 2024 *

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