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Models and methodology for optimal trajectory generation in safety-critical road–vehicle manoeuvres

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Author

Summary, in English

There is currently a strongly growing interest in obtaining optimal control solutions for vehicle manoeuvres, both in order to understand optimal vehicle behaviour and, perhaps more importantly, to devise improved safety systems, either by direct deployment of the solutions or by including mimicked driving techniques of professional drivers. However, it is non-trivial to find the right combination of models, optimisation criteria, and optimisation tools to get useful results for the above purposes. Here, a platform for investigation of these aspects is developed based on a state-of-the-art optimisation tool together with adoption of existing vehicle chassis and tyre models. A minimum-time optimisation criterion is chosen for the purpose of gaining an insight into at-the-limit manoeuvres, with the overall aim of finding improved fundamental principles for future active safety systems. The proposed method to trajectory generation is evaluated in time-manoeuvres using vehicle models established in the literature. We determine the optimal control solutions for three manoeuvres using tyre and chassis models of different complexities. The results are extensively analysed and discussed. Our main conclusion is that the tyre model has a fundamental influence on the resulting control inputs. Also, for some combinations of chassis and tyre models, inherently different behaviour is obtained. However, certain variables important in vehicle safety-systems, such as the yaw moment and the body-slip angle, are similar for several of the considered model configurations in aggressive manoeuvring situations.

Publishing year

2014

Language

English

Pages

1304-1332

Publication/Series

Vehicle System Dynamics

Volume

52

Issue

10

Document type

Journal article

Publisher

Taylor & Francis

Topic

  • Control Engineering

Keywords

  • time-optimal trajectory generation
  • optimal manoeuvres
  • road vehicles
  • chassis and tyre modelling

Status

Published

Project

  • ENGROSS
  • RobotLab LTH

Research group

  • LCCC
  • ELLIIT

ISBN/ISSN/Other

  • ISSN: 1744-5159