Memorised quasi-time fuel-optimal feedback control of perturbed double integrator

W.J. Jing, C.R. McInnes

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

Quasi-time-fuel-optimal feedback control of the perturbed double integrator Image is studied. A feedback control strategy is presented to overcome overshoot by introducing two compensation factors into time-fuel-optimal switching curves of the ideal double integrator. Robust convergence of the closed-loop system is proved. The control strategy presented has memory of past on-off commutation which eliminates chattering of the system and makes the system converge to the origin in a boundary layer, rather than slide to the origin along the switching curves. A simulation example is given to illustrate feasibility of the control strategy.
LanguageEnglish
Pages1389-1396
Number of pages7
JournalAutomatica
Volume38
Issue number8
DOIs
Publication statusPublished - 2002

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Feedback control
Electric commutation
Closed loop systems
Boundary layers
Data storage equipment
Compensation and Redress

Keywords

  • 2D systems
  • robust control
  • uncertain system
  • on-off control
  • suboptimal control
  • control systems

Cite this

Jing, W.J. ; McInnes, C.R. / Memorised quasi-time fuel-optimal feedback control of perturbed double integrator. In: Automatica. 2002 ; Vol. 38, No. 8. pp. 1389-1396.
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Memorised quasi-time fuel-optimal feedback control of perturbed double integrator. / Jing, W.J.; McInnes, C.R.

In: Automatica, Vol. 38, No. 8, 2002, p. 1389-1396.

Research output: Contribution to journalArticle

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AB - Quasi-time-fuel-optimal feedback control of the perturbed double integrator Image is studied. A feedback control strategy is presented to overcome overshoot by introducing two compensation factors into time-fuel-optimal switching curves of the ideal double integrator. Robust convergence of the closed-loop system is proved. The control strategy presented has memory of past on-off commutation which eliminates chattering of the system and makes the system converge to the origin in a boundary layer, rather than slide to the origin along the switching curves. A simulation example is given to illustrate feasibility of the control strategy.

KW - 2D systems

KW - robust control

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