Hybrid control scheme for tracking performance of a flexible system

F. M. Aldebrez, M. S. Alam, M. O. Tokhi

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

5 Scopus citations

Abstract

This paper introduces a hybrid control scheme comprising a proportional and derivative (PD)-like fuzzy controller cascaded with a proportional, integral and derivative (PID) compensator. The hybrid control scheme is developed and implemented for tracking control of the vertical movement of a twin rotor multi-input multi-output system in the hovering mode. The proposed control scheme is designed in a way that the output of the PD-type fuzzy controller is fed as a proportional gain of the PID compensator. Genetic algorithm (GA) is used to tune simultaneously the other two parameters of the PID compensator. The performance of the proposed hybrid control strategy is compared with a PD-type fuzzy controller and conventional PID compensator in terms of setpoint tracking. It is found that the proposed control strategy copes well over the complexities of the plant and has done better than the other two controllers. The GA optimization technique is also found to be effective and efficient in tuning the PID parameters.

Original languageEnglish
Title of host publicationProceedings of the 8th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines, CLAWAR 2005
PublisherKluwer Academic Publishers
Pages543-550
Number of pages8
ISBN (Print)3540264132, 9783540264132
DOIs
StatePublished - 2006
Externally publishedYes
Event8th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines, CLAWAR 2005 - London, United Kingdom
Duration: 13 Sep 200515 Sep 2005

Publication series

NameProceedings of the 8th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines, CLAWAR 2005

Conference

Conference8th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines, CLAWAR 2005
Country/TerritoryUnited Kingdom
CityLondon
Period13/09/0515/09/05

Keywords

  • Flexible systems
  • fuzzy control
  • genetic algorithms
  • hybrid control

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction
  • Software

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