Structural robust gain-scheduled PID control and application on a morphing wing UAV

Pengyuan Shao, Zhou Zhou, Songhui Ma, Lina Bin

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

9 Scopus citations

Abstract

Further research based on the author's past work in [1] is performed in this paper. A structural robust gain-scheduled (GS) PID control method is proposed and applied to control the pitch angle for a morphing wing UAV(MUAV) in its transient process. Firstly, the author gives the robust static output feedback (SOF) control method for LPV system and shows that PID control is equivalent to SOF control, thus the robust GS PID control design is derived via SOF. Secondly, the author introduces a structural matrix to structuralize the robust GS PID control, then a structural robust GS PI(D) control design method is derived. The controller is in the same form of PID controller used in practice, which has a more simple structure than the result in [10] and other existing results. At last, the proposed method is applied to control the pitch angle of a MUAV based on a LPV model developed by a Jacobian Linearization method. Linear analysis and nonlinear Monte-Carlo simulation were performed and the results showed that the proposed solution were applicable with satisfactory robustness and performance.

Original languageEnglish
Title of host publicationProceedings of the 36th Chinese Control Conference, CCC 2017
EditorsTao Liu, Qianchuan Zhao
PublisherIEEE Computer Society
Pages3236-3241
Number of pages6
ISBN (Electronic)9789881563934
DOIs
StatePublished - 7 Sep 2017
Event36th Chinese Control Conference, CCC 2017 - Dalian, China
Duration: 26 Jul 201728 Jul 2017

Publication series

NameChinese Control Conference, CCC
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference36th Chinese Control Conference, CCC 2017
Country/TerritoryChina
CityDalian
Period26/07/1728/07/17

Keywords

  • Gain-Scheduled
  • Linear Parameter Varying (LPV) system
  • PID control
  • robust control
  • Unmanned Aerial Vehicle(UAV)

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