Title: GA tuned H_∞ roll acceleration controller based on series active variable geometry suspension on rough roads

Authors: Shayan Nazemi; Masoud Masih-Tehrani; Morteza Mollajafari

Addresses: Vehicle Dynamical System Research Lab, School of Automotive Engineering, Iran University of Science and Technology, Tehran, 13114-16846, Iran ' Vehicle Dynamical System Research Lab, School of Automotive Engineering, Iran University of Science and Technology, Tehran, 13114-16846, Iran ' Vehicle Dynamical System Research Lab, School of Automotive Engineering, Iran University of Science and Technology, Tehran, 13114-16846, Iran

Abstract: In this paper, a type of vehicle variable-geometry suspension, named series active variable geometry suspension (SAVGS) is tuned for a grand tourer (GT) car, which is a type of sports car. This tuning is done such that the control of the vehicle's roll angle and roll angle acceleration are attained and also the tires' road holding are kept on random rough road classes D and C and under turning event with crosswind forces. To this end, first the vehicle's full car dynamics are modelled and then a genetic algorithm (GA)-tuned PID H_∞ control synthesis is applied to the system to control the vehicle's roll angle acceleration motion. The simulation results show that for a speed of 100 km/h and crosswind with 150 km/h speed, the H_∞ control synthesis improved the vehicle's roll angle and rollover index up to 85% and the vehicle's roll angle acceleration up to 13% compared to the PID controller.

Keywords: H_∞ controller; SAVGS; series active variable geometry suspension; robust control; genetic algorithm; full-car modelling; rollover control; random rough road.

DOI: 10.1504/IJVP.2022.122047

International Journal of Vehicle Performance, 2022 Vol.8 No.2/3, pp.166 - 187

Received: 02 Aug 2020
Accepted: 03 Dec 2020
Published online: 08 Apr 2022 *

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