Skip to main content

Application of predictive control strategies to the motorcycle riding task

Buy Article:

$55.00 plus tax (Refund Policy)

Model predictive control (MPC) techniques have been applied to the modelling of a motorcycle rider, believed to offer more realistic representation of the riding strategy compared with previous methods, notably optimal control. The results from the MPC model have been compared with the optimal control results, showing good similarities and also some notable differences. The results of the application of MPC techniques to the simulation of a motorcycle rider suggest that the approach has wider applicability to rider modelling, and allows greater scope for the definition of the rider's control approach. Notably, for limited rider preview, shortcomings using the optimal control approach are overcome using the MPC method. Furthermore, the approach is believed to more accurately reflect the control actions taken by a human motorcycle rider.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Data/Media
No Metrics

Keywords: driver behaviour; model predictive control; motorcycle dynamics; path following

Document Type: Research Article

Affiliations: School of Mechanical, Materials and Manufacturing Engineering, University of Nottingham, Nottingham, UK

Publication date: 2008-09-01

  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more