Title: Optimised coordinated chassis stability control using fuzzy genetic algorithm

Authors: A. Elhefnawy; H. Ragheb; A.M. Sharaf; S. Hegazy

Addresses: Egyptian Armed Forces, Automotive Engineering Department, Military Technical College, Al-Khalifa Al-Maamoon Street, Kobry Elkobbah, Cairo, Egypt ' Egyptian Armed Forces, Automotive Engineering Department, Military Technical College, Al-Khalifa Al-Maamoon Street, Kobry Elkobbah, Cairo, Egypt ' Egyptian Armed Forces, Automotive Engineering Department, Military Technical College, Al-Khalifa Al-Maamoon Street, Kobry Elkobbah, Cairo, Egypt ' Egyptian Armed Forces, Automotive Engineering Department, Military Technical College, Al-Khalifa Al-Maamoon Street, Kobry Elkobbah, Cairo, Egypt

Abstract: Owing to proficient constraints of distinct vehicle subsystems, numerous individual active control systems are optimised individually in specific handling areas. Consequently, there is no solitary system which can be operative over the entire range of vehicle stability and handling. In this study, an optimised coordinated control system comprising two controllers namely direct yaw control (DYC) and active front steering (AFS) has been developed based on fuzzy logic control to boost vehicle handling, cornering stability, and rollover anticipation. Moreover, genetic algorithm has been accustomed to optimise the offered coordinated control system in two phases; initially, optimising the fuzzy logic controller for both DYC and AFS by linear scaling of the inputs and outputs of each controller, and by the weight of each rule. Different benchmark test manoeuvres have been carried out at different driving conditions to scrutinise the offered coordinated control effectiveness. Simulation results shows a significant enhancement in vehicle stability.

Keywords: DYC; direct yaw control; AFS; active front steering; FLC; fuzzy logic control; GA; genetic algorithm; coordinated control.

DOI: 10.1504/IJHVS.2020.112976

International Journal of Heavy Vehicle Systems, 2020 Vol.27 No.6, pp.800 - 816

Received: 18 Oct 2019
Accepted: 18 Feb 2020
Published online: 12 Feb 2021 *

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