Optimized torque allocation strategy on multi-wheel vehicles

Hongjie Liang, Yue Ma*, Jinning Zhi, Yi Li, Yifan Peng

*Corresponding author for this work

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

1 Citation (Scopus)

Abstract

Multi-wheel vehicles are extensively utilized in civil and military fields, since they are powerful in complex environment, originating from over-actuated multi-wheel driven system. It is necessary that the kinematics and dynamics of all wheels have to be coordinated controlled. In this paper, the optimized torque allocation strategy on skid steering multi-wheel vehicle driven by independent in-wheel motors has been proposed based on vehicle dynamical model and wheel torque distribution characteristics. Subsequently, weighting control allocation error and control energy as the optimization target, wheel torque control allocation was solved using quadratic programming method. Integrated with wheel slip control and actuator fault redundancy control schemes, the optimization algorithm is correspondingly implemented, which improved the dynamic performance and safety of steering vehicle. The effectiveness of wheel torque distribution strategy was validated in Matlab/Simulink which demonstrated that torque can be redistributed among the effective motors when one wheel motor fails.

Original languageEnglish
Title of host publicationProceedings of 2017 9th International Conference On Modelling, Identification and Control, ICMIC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages815-820
Number of pages6
ISBN (Electronic)9781509065738
DOIs
Publication statusPublished - 2 Jul 2017
Event9th International Conference on Modelling, Identification and Control, ICMIC 2017 - Kunming, China
Duration: 10 Jul 201712 Jul 2017

Publication series

NameProceedings of 2017 9th International Conference On Modelling, Identification and Control, ICMIC 2017
Volume2018-March

Conference

Conference9th International Conference on Modelling, Identification and Control, ICMIC 2017
Country/TerritoryChina
CityKunming
Period10/07/1712/07/17

Keywords

  • QP
  • control algorithm
  • dynamic distribution
  • torque optimization

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