Mixed H2/H∞ robust controllers in aircraft control problem.

Saved in:
Bibliographic Details
Title: Mixed H2/H robust controllers in aircraft control problem.
Authors: Satybaldina, Dana1 satybaldina_dk@enu.kz, Dabayeva, Aida1 mashtayeva@mail.ru, Kissikova, Nurgul1 kissikova_nm@enu.kz, Uskenbayeva, Gulzhan1 uskenbayeva_ga_1@enu.kz, Shukirova, Aliya1 shukirova_ak_1@enu.kz
Source: International Journal of Electrical & Computer Engineering (2088-8708). Dec2023, Vol. 13 Issue 6, p6249-6258. 10p.
Subjects: Ecological disturbances, Microbursts, Robust control
Abstract: A leading cause of accidents during the landing phase of a flight lies in a considerable altitude loss by an aircraft as a result of the impact of a microburst of wind. One of the significant factors focuses primarily on the need to simultaneously satisfy various requirements regarding conditions of environmental disturbances and a wide range of systemic changes. The paper presents an algorithm for synthesizing an optimal controller that solves the mixed H2/H∞ control problem for the stabilization of aircraft in glidepath landing mode in the presence of uncertainty. Firstly, the principles of multi-criteria optimization are presented, and the mixed H2/H∞ problem is interpreted as the synthesis of a system with optimal quadratic performance, subject to its readiness to operate with the worst disturbance. Then, the ensuing section expounds upon the mathematical depiction of the vertical trajectory of aircraft, duly considering the perturbations imposed by wind phenomena. Subsequently, the effectiveness of mixed H2/H∞ control is confirmed compared to autonomous H2 or H∞ regulators through simulation outcomes acquired from the created system. Optimization based on a hybrid (mixed) criterion allowed combining the strengths of locally optimal systems based only on H2 or H∞ theory. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Electrical & Computer Engineering (2088-8708) is the property of Institute of Advanced Engineering & Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
FullText Links:
  – Type: pdflink
Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 173717480
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Mixed H<subscript>2</subscript>/H<subscript>∞</subscript> robust controllers in aircraft control problem.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Satybaldina%2C+Dana%22">Satybaldina, Dana</searchLink><relatesTo>1</relatesTo><i> satybaldina_dk@enu.kz</i><br /><searchLink fieldCode="AR" term="%22Dabayeva%2C+Aida%22">Dabayeva, Aida</searchLink><relatesTo>1</relatesTo><i> mashtayeva@mail.ru</i><br /><searchLink fieldCode="AR" term="%22Kissikova%2C+Nurgul%22">Kissikova, Nurgul</searchLink><relatesTo>1</relatesTo><i> kissikova_nm@enu.kz</i><br /><searchLink fieldCode="AR" term="%22Uskenbayeva%2C+Gulzhan%22">Uskenbayeva, Gulzhan</searchLink><relatesTo>1</relatesTo><i> uskenbayeva_ga_1@enu.kz</i><br /><searchLink fieldCode="AR" term="%22Shukirova%2C+Aliya%22">Shukirova, Aliya</searchLink><relatesTo>1</relatesTo><i> shukirova_ak_1@enu.kz</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Electrical+%26+Computer+Engineering+%282088-8708%29%22">International Journal of Electrical & Computer Engineering (2088-8708)</searchLink>. Dec2023, Vol. 13 Issue 6, p6249-6258. 10p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Ecological+disturbances%22">Ecological disturbances</searchLink><br /><searchLink fieldCode="DE" term="%22Microbursts%22">Microbursts</searchLink><br /><searchLink fieldCode="DE" term="%22Robust+control%22">Robust control</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: A leading cause of accidents during the landing phase of a flight lies in a considerable altitude loss by an aircraft as a result of the impact of a microburst of wind. One of the significant factors focuses primarily on the need to simultaneously satisfy various requirements regarding conditions of environmental disturbances and a wide range of systemic changes. The paper presents an algorithm for synthesizing an optimal controller that solves the mixed H2/H∞ control problem for the stabilization of aircraft in glidepath landing mode in the presence of uncertainty. Firstly, the principles of multi-criteria optimization are presented, and the mixed H2/H∞ problem is interpreted as the synthesis of a system with optimal quadratic performance, subject to its readiness to operate with the worst disturbance. Then, the ensuing section expounds upon the mathematical depiction of the vertical trajectory of aircraft, duly considering the perturbations imposed by wind phenomena. Subsequently, the effectiveness of mixed H2/H∞ control is confirmed compared to autonomous H2 or H∞ regulators through simulation outcomes acquired from the created system. Optimization based on a hybrid (mixed) criterion allowed combining the strengths of locally optimal systems based only on H2 or H∞ theory. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Electrical & Computer Engineering (2088-8708) is the property of Institute of Advanced Engineering & Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=173717480
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.11591/ijece.v13i6.pp6249-6258
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 10
        StartPage: 6249
    Subjects:
      – SubjectFull: Ecological disturbances
        Type: general
      – SubjectFull: Microbursts
        Type: general
      – SubjectFull: Robust control
        Type: general
    Titles:
      – TitleFull: Mixed H2/H∞ robust controllers in aircraft control problem.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Satybaldina, Dana
      – PersonEntity:
          Name:
            NameFull: Dabayeva, Aida
      – PersonEntity:
          Name:
            NameFull: Kissikova, Nurgul
      – PersonEntity:
          Name:
            NameFull: Uskenbayeva, Gulzhan
      – PersonEntity:
          Name:
            NameFull: Shukirova, Aliya
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 12
              Text: Dec2023
              Type: published
              Y: 2023
          Identifiers:
            – Type: issn-print
              Value: 20888708
          Numbering:
            – Type: volume
              Value: 13
            – Type: issue
              Value: 6
          Titles:
            – TitleFull: International Journal of Electrical & Computer Engineering (2088-8708)
              Type: main
ResultId 1