HHO Algorithm based PID Controller Design for Aircraft Pitch Angle Control System

Davut Izci, Serdar Ekinci, Aysen Demiroren, John Hedley

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

36 Citations (Scopus)

Abstract

In this study, Harris hawks optimization (HHO) algorithm has been proposed as a novel meta-heuristic algorithm to achieve optimal parameters of a PID controller adopted for aircraft pitch control system. To evaluate the performance of the proposed approach, comparative analyses have been performed using statistical analysis along with time and frequency domain analyses. Other recent and effective meta-heuristic algorithms based PID controllers such as salp swarm algorithm (SSA) tuned and atom search optimization (ASO) algorithm tuned PID controllers were chosen for comparison to verify the effectiveness of HHO tuned PID controller. The comparisons have confirmed the better performance of the proposed HHO tuned PID controller over other mechanisms for controlling the pitch angle of an aircraft.

Original languageEnglish
Title of host publicationHORA 2020 - 2nd International Congress on Human-Computer Interaction, Optimization and Robotic Applications, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728193526
DOIs
Publication statusPublished - Jun 2020
Event2nd International Congress on Human-Computer Interaction, Optimization and Robotic Applications, HORA 2020 - Ankara, Turkey
Duration: 26 Jun 202027 Jun 2020

Publication series

NameHORA 2020 - 2nd International Congress on Human-Computer Interaction, Optimization and Robotic Applications, Proceedings

Conference

Conference2nd International Congress on Human-Computer Interaction, Optimization and Robotic Applications, HORA 2020
Country/TerritoryTurkey
CityAnkara
Period26/06/2027/06/20

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

Keywords

  • Harris hawks optimization
  • PID controller
  • atom search optimization
  • pitch control system
  • salp swarm algorithm

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