Modelling and controller design of automotive cruise control system using hybrid model predictive controller

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

14 Scopus citations

Abstract

Vehicle Cruise Control System (VCCS) is used to regulate the speed of the locomotive to a reference speed as desired by the driver. It is mainly used to reduce the driving exhaustion on the driver. This research paper deals with the control of VCCS based on Model Predictive Controller (MPC) in parallel with the conventional PID controller. The results of the proposed control system are compared with the conventional techniques including FLC, GA and ALO based PID controller. Simulation results show that the hybrid combination of MPC and classical PID controller has better outcome with regard to transient state response than numerous published techniques in recent times.

Original languageEnglish
Title of host publication15th International Conference on Emerging Technologies, ICET 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728154039
DOIs
StatePublished - Dec 2019
Externally publishedYes

Publication series

Name15th International Conference on Emerging Technologies, ICET 2019

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Keywords

  • Ant Lion Optimizer
  • Fuzzy Logic Control
  • Genetic Algorithm
  • Model Predictive Controller
  • PID Controller
  • Vehicle cruise control system

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Electrical and Electronic Engineering
  • Control and Optimization
  • Health Informatics
  • Instrumentation

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