Optimal race car motion cueing

I. Salisbury, D. J.N. Limebeer

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Citations (Scopus)


This paper explores the application of numerical optimal control (NOC) to the synthesis of motion cueing algorithms for race-car simulators. These techniques are used to design washout filters that address the limitations of the commonly-employed linear quadratic Guassian (LQG) regulator and classical frequency shaping strategies. The primary disadvantage of the LQG and classical tuning methods is that they do not recognise explicitly the hardware limitations of the platform and thus have to rely on an iterative process to address workspace limitations. In two new algorithms a kinematic model of the platform is used to constrain explicitly the platform's motion within the available workspace. The first algorithm is directed to the optimisation of the parameters of a linear washout filter, while in the second approach the platform motion is governed by an open-loop optimal control. The results of the two new algorithms are tested on race-car minimum lap-time simulations, and then compared with a linear-optimal-control based solution. The race-car scenario presents different challenges from the passenger car and aircraft contexts; these differences are discussed.

Original languageEnglish
Title of host publication19th IFAC World Congress IFAC 2014, Proceedings
EditorsEdward Boje, Xiaohua Xia
PublisherIFAC Secretariat
Number of pages6
ISBN (Electronic)9783902823625
Publication statusPublished - 2014
Externally publishedYes
Event19th IFAC World Congress on International Federation of Automatic Control, IFAC 2014 - Cape Town, South Africa
Duration: 24 Aug 201429 Aug 2014

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
ISSN (Print)1474-6670


Conference19th IFAC World Congress on International Federation of Automatic Control, IFAC 2014
Country/TerritorySouth Africa
CityCape Town


  • Automotive control
  • Motion cueing algorithms
  • Optimal control
  • Parameter optimisation

ASJC Scopus subject areas

  • Control and Systems Engineering


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