Investigation of vibration’s effect on driver in optimal motion cueing algorithm

Ahmad, Hazoor; Tariq, Muhammad; Yasin, Awais; Razzaq, Sohail; Chaudhry, Muhammad Ahmad; Shaikh, Inam Ul Hasan; Ali, Ahsan; Qaisar, Saeed Mian; Iqbal, Jamshed

Abstract

The increased sensation error between the surroundings and the driver is a major problem in driving simulators, resulting in unrealistic motion cues. Intelligent control schemes have to be developed to provide realistic motion cues to the driver. The driver’s body model incorporates the effects of vibrations on the driver’s health, comfort, perception, and motion sickness, and most of the current research on motion cueing has not considered these factors. This article proposes a novel optimal motion cueing algorithm that utilizes the driver’s body model in conjunction with the driver’s perception model to minimize the sensation error. Moreover, this article employs H1 control in place of the linear quadratic regulator to optimize the quadratic cost function of sensation error. As compared to state of the art, we achieve decreased sensation error in terms of small root-mean-square difference (70%, 61%, and 84% decrease in case of longitudinal acceleration, lateral acceleration, and yaw velocity, respectively) and improved coefficient of cross-correlation (3% and 1% increase in case of longitudinal and lateral acceleration, respectively).

Citation

Ahmad, H., Tariq, M., Yasin, A., Razzaq, S., Chaudhry, M. A., Shaikh, I. U. H., …Iqbal, J. (2023). Investigation of vibration’s effect on driver in optimal motion cueing algorithm. PLoS ONE, 18(11 November), Article e0290705. https://doi.org/10.1371/journal.pone.0290705

• Journal Article Type: Article
• Acceptance Date: Aug 15, 2023
• Online Publication Date: Nov 30, 2023
• Publication Date: Nov 30, 2023
• Deposit Date: Dec 15, 2023
• Publicly Available Date: Dec 19, 2023
• Journal: PLoS ONE
• Print ISSN: 1932-6203
• Electronic ISSN: 1932-6203
• Publisher: Public Library of Science
• Peer Reviewed: Peer Reviewed
• Volume: 18
• Issue: 11 November
• Article Number: e0290705
• DOI: https://doi.org/10.1371/journal.pone.0290705
• Public URL: https://hull-repository.worktribe.com/output/4484600