Title: Preview control of the random response of a full car vehicle model traversing a rough road

Authors: L.V.V. Gopala Rao; V.S.V. Satyanarayana; Rakesh Chandmal Sharma; Srihari Palli; Anuj Raturi; Ashwani Kharola; Ashwini Sharma

Addresses: Veneklasen Associates India LLP, Gurgaon, Haryana, India ' Mechanical Engineering Department, Vignan's Institute of Information Technology, Visakhapatnam, India ' Department of Mechanical Engineering, Graphic Era (Deemed to be University), Dehradun, India; Department of Mechanical Engineering, Graphic Era Hill University, Dehradun, India ' Department of Mechanical Engineering, Aditya Institute of Technology and Management, Tekkali, India ' Department of Mechanical Engineering, Graphic Era (Deemed to be University), Dehradun, India ' Department of Mechanical Engineering, Graphic Era (Deemed to be University), Dehradun, India ' Department of Mechanical Engineering, Graphic Era (Deemed to be University), Dehradun, India

Abstract: This paper considers a full-vehicle model with preview control travelling on a random road. The road roughness is modelled as the PSD of the random road irregularity provided by integrated white noise which is estimated by a deterministic step input. The response of the vehicle model is optimised to improve the vehicle performance given by a performance index which is the weighted integral of suspension working space, tyre deflection and control force. The RMS values of control force, suspension space and tyre deflection are computed using the method of spectral decomposition. The results show that there is a substantial improvement in the vehicle performance in the case of linear-quadratic regulator with preview control compared to the linear-quadratic regulator without preview control.

Keywords: full vehicle model; random road; active suspension; preview control; spectral decomposition.

DOI: 10.1504/IJVNV.2024.138105

International Journal of Vehicle Noise and Vibration, 2024 Vol.20 No.1, pp.70 - 88

Received: 29 Nov 2022
Accepted: 03 Aug 2023
Published online: 29 Apr 2024 *

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