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Robust and optimal control of longitudinal dynamics of automotive vehicle

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

4 Scopus citations

Abstract

This paper describes the modeling and controlling of longitudinal vehicle model. State space averaging is used to get the nominal model of vehicle, while bond graph methodology is adopted to model the actuator dynamics of the vehicle. Robust control theory is applied to modify the nominal model to standard format used for parametric and multiplicative input uncertainties. H∞ control technique is adopted to control the states of the model in the presence of uncertainties and disturbance. Concept of servo mechanism is used to check velocity-tracking performance, while μ analysis is performed on the controlled model to check the robust stability and robust performance of the model.

Original languageEnglish
Title of host publication2017 International Conference on Electrical Engineering, ICEE 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509012411
DOIs
StatePublished - 5 Apr 2017
Externally publishedYes
Event2017 International Conference on Electrical Engineering, ICEE 2017 - Lahore, Pakistan
Duration: 2 Mar 20174 Mar 2017

Publication series

Name2017 International Conference on Electrical Engineering, ICEE 2017

Conference

Conference2017 International Conference on Electrical Engineering, ICEE 2017
Country/TerritoryPakistan
CityLahore
Period2/03/174/03/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Keywords

  • H infinity
  • longitudinal cruise control
  • perturbed model
  • platoon system
  • robust performance
  • robust stability
  • μ synthesis

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Energy Engineering and Power Technology

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