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Fixed Settling Time Longitudinal Control of Self-Driving Car

  • Rameez Khan
  • , Naveed Mazhar
  • , Abid Raza
  • , Anjum Saeed
  • , Fahad Mumtaz Malik
  • , Raja Amer Azim

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

2 Scopus citations

Abstract

This article presents the robust control framework for the longitudinal motion of the self-driving car in an uncertain environment. As a theoretical contribution, a fixed settling time sliding mode controller (FSTSMC) is proposed using barrier Lyapunov functions for a class of second-order nonlinear systems which avoids the singularity problem of fixed traditional fixed time controllers. The proposed controller is, then employed to self-driving car application after its longitudinal dynamics' transformation in standard normal form. The controller guarantees to attain the desired vehicle speed in fixed settling time. The MATLAB simulations are performed to illustrate the effectiveness of FSTSMC with longitudinal vehicle dynamics.

Original languageEnglish
Title of host publicationProceedings - 2022 4th International Conference on Applied Automation and Industrial Diagnostics, ICAAID 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728189390
DOIs
StatePublished - 2022
Externally publishedYes
Event4th International Conference on Applied Automation and Industrial Diagnostics, ICAAID 2022 - Hail, Saudi Arabia
Duration: 29 Mar 202231 Mar 2022

Publication series

NameProceedings - 2022 4th International Conference on Applied Automation and Industrial Diagnostics, ICAAID 2022

Conference

Conference4th International Conference on Applied Automation and Industrial Diagnostics, ICAAID 2022
Country/TerritorySaudi Arabia
CityHail
Period29/03/2231/03/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

  • Barrier Lyapunov function
  • Fixed settling time
  • Longitudinal dynamics
  • Self-driving car
  • Sliding mode control

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Industrial and Manufacturing Engineering
  • Safety, Risk, Reliability and Quality
  • Control and Optimization

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