Landing of Aircraft Using Integral State Feedback Sliding Mode Control

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

7 Scopus citations

Abstract

Landing is daunting control design problem because it demands high accuracy and precision by pilot. Among the various states to control for stability and landing in an Aircraft, one is its altitude to handle during landing. Since the linearized model of aircraft is considered and is used for altitude control design. For best tracking performance during glide and flare phase, Integral State feedback Sliding Mode Control (ISSMC) is applied, which is based on unit vector approach. To eliminate error between responded altitude and referenced altitude, a dynamic demand first order filter is used. There has been noted a significant improvement in performance as compared with PID control. When comparing the Integral State feedback Sliding Mode Control with PID during landing phase, the ISSMC yields the best response of glide and flare maneuverability for smooth touch down during landing on runway.

Original languageEnglish
Title of host publication1st International Conference on Electrical, Communication and Computer Engineering, ICECCE 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728138251
DOIs
StatePublished - Jul 2019
Externally publishedYes
Event1st International Conference on Electrical, Communication and Computer Engineering, ICECCE 2019 - Swat, Pakistan
Duration: 24 Jul 201925 Jul 2019

Publication series

Name1st International Conference on Electrical, Communication and Computer Engineering, ICECCE 2019

Conference

Conference1st International Conference on Electrical, Communication and Computer Engineering, ICECCE 2019
Country/TerritoryPakistan
CitySwat
Period24/07/1925/07/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Keywords

  • ISSMC
  • PID
  • flare path
  • glide path
  • landing

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Electrical and Electronic Engineering
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Control and Optimization

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