Controller design for polynomial linear parameter varying model of turbofan engine

Xiaobao Han, Huacong Li

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

Abstract

This paper presents a new parameter-scheduled controller design and solving method for turbofan engine polynomial linear parameter varying (PLPV) model in nonconvex domain. In this method, the parameterized linear matrix inequalities (PLMI)-typed sufficient conditions based on parameterized Lyapunov function (PLF) are given, which can guarantee multi-objective robust performances of the control system. Then, by using the geometrical features of parameter domain, an improved convex polyhedron construction algorithm is proposed. Based on this improved algorithm, the parameter-scheduled controller solving problem is reduced into a linear matrix inequalities (LMI) constrained normal convex optimization problem. The numerical simulations on a turbofan engine verify the effectiveness of the controller design and satisfactory global control performance.

Original languageEnglish
Title of host publication2011 International Conference on Electronics, Communications and Control, ICECC 2011 - Proceedings
Pages1961-1964
Number of pages4
DOIs
StatePublished - 2011
Event2011 International Conference on Electronics, Communications and Control, ICECC 2011 - Ningbo, China
Duration: 9 Sep 201111 Sep 2011

Publication series

Name2011 International Conference on Electronics, Communications and Control, ICECC 2011 - Proceedings

Conference

Conference2011 International Conference on Electronics, Communications and Control, ICECC 2011
Country/TerritoryChina
CityNingbo
Period9/09/1111/09/11

Keywords

  • controller dsign
  • linear parameter varying(LPV)
  • Lyapunov function
  • turbofan engine

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