VSD MPC simulator paper.pdf (1.41 MB)

Model predictive driving simulator motion cueing algorithm with actuator-based constraints

Download (1.41 MB)
journal contribution
posted on 27.04.2015, 12:07 by Nikhil Garrett, Matt Best
The simulator motion cueing problem has been considered extensively in the literature; approaches based on linear filtering and optimal control have been presented and shown to perform reasonably well. More recently, model predictive control (MPC) has been considered as a variant of the optimal control approach; MPC is perhaps an obvious candidate for motion cueing due to its ability to deal with constraints, in this case the platform workspace boundary. This paper presents an MPC-based cueing algorithm that, unlike other algorithms, uses the actuator positions and velocities as the constraints. The result is a cueing algorithm that can make better use of the platform workspace whilst ensuring that its bounds are never exceeded. The algorithm is shown to perform well against the classical cueing algorithm and an algorithm previously proposed by the authors, both in simulation and in tests with human drivers.

History

School

  • Aeronautical, Automotive, Chemical and Materials Engineering

Department

  • Aeronautical and Automotive Engineering

Published in

VEHICLE SYSTEM DYNAMICS

Volume

51

Issue

8

Pages

1151 - 1172 (22)

Citation

GARRETT, N.J.I. and BEST, M.C., 2013. Model predictive driving simulator motion cueing algorithm with actuator-based constraints. Vehicle System Dynamics, 51 (8), pp. 1151 - 1172.

Publisher

© Taylor & Francis

Version

AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2013

Notes

This is an Accepted Manuscript of an article published by Taylor & Francis in Vehicle System Dynamics on 23/04/2013, available online: http://wwww.tandfonline.com/10.1080/00423114.2013.783219

ISSN

0042-3114

Language

en

Exports

Logo branding

Exports