Aeroengine Robust Gain-Scheduling Control Based on Performance Degradation

Linfeng Gou, Zhidan Liu, Ding Fan, Hua Zheng

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

Abstract

This study was conducted to develop a novel tracking control strategy for aeroengines with strong nonlinearity and uncertainty. Compared to existing robust gain-scheduling control strategies, the proposed control strategy has relatively low conservatism and can markedly improve engine performance. An improved on-board adaptive aeroengine model was established to estimate engine performance degradation and eliminate the degradation term contained in the perturbation block of the engine uncertain model in the design process. Robust controllers under engine normal and performance degradation states were designed at a set of operating points and scheduled according to relevant scheduling and health parameters. A desired robust gain-scheduling controller, which works based on performance degradation, can be precisely constructed via this approach. Simulation results are given to demonstrate the effectiveness of the proposed method, where the response speed of engine is improved by 38%.

Original languageEnglish
Article number9058663
Pages (from-to)104857-104869
Number of pages13
JournalIEEE Access
Volume8
DOIs
StatePublished - 2020

Keywords

  • aeroengine
  • gain-scheduling
  • nonlinear system
  • performance degradation
  • Robust conservative

Fingerprint

Dive into the research topics of 'Aeroengine Robust Gain-Scheduling Control Based on Performance Degradation'. Together they form a unique fingerprint.

Cite this