Robust control of wing rock motion

Alon Kuperman, Qing Chang Zhong, Richard K. Stobart

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

6 Scopus citations

Abstract

In this paper, linear and nonlinear robust control strategies are proposed to suppress wing rock motion. The approaches are based on the uncertainty and disturbance estimator (UDE), which calculates and robustly cancels system uncertainties and input disturbances with appropriate filtering. In the case of a nonlinear controller, the information regarding the known part of the nonlinear plant dynamics is used by the controller, while in the case of a linear controller the terms containing the nonlinear functions are treated as additional uncertainties to the system. The algorithms provide excellent performance in suppressing the oscillations and disturbance rejection. Simulations are given to show the effectiveness of the strategies via an application to an experimentally derived delta wing rock model.

Original languageEnglish
Title of host publication2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5659-5664
Number of pages6
ISBN (Print)9781612848006
DOIs
StatePublished - 1 Jan 2011
Externally publishedYes
Event2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011 - Orlando, FL, United States
Duration: 12 Dec 201115 Dec 2011

Publication series

NameProceedings of the IEEE Conference on Decision and Control
ISSN (Print)0743-1546
ISSN (Electronic)2576-2370

Conference

Conference2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011
Country/TerritoryUnited States
CityOrlando, FL
Period12/12/1115/12/11

Keywords

  • Wing rock
  • nonlinear systems
  • robust control
  • uncertainty and disturbance estimator (UDE)

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modeling and Simulation
  • Control and Optimization

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