Aeroengine deviation parameters nonlinear estimation using improved Quantum-behaved PSO algorithm

Author

Dawei, Yin ; Bin, Chang ; Xianrong, Yan ; Yubo, Feng

Author_Institution

Naval Acad. of Armament, Shanghai, China

fYear

2012

fDate

25-27 July 2012

Firstpage

2013

Lastpage

2018

Abstract

Estimation of aeroengine deviation parameters (EDPs) is one of the key technologies of performance seeking control (PSC). The estimation errors may be great using traditional linear estimation algorithm, so nonlinear estimation model is established. The problem of nonlinear estimation is conversed to a problem of optimization. Mutation Quantum-behaved PSO (QPSO) algorithm is used to estimate EDPs. Take the given turbofan engine as an example, the feasibility of using Mutation QPSO (MQPSO) to estimate EDPs is validated by simulation.

Keywords

aerospace control; jet engines; nonlinear estimation; particle swarm optimisation; EDP; MQPSO; aeroengine deviation parameter nonlinear estimation model; estimation errors; mutation quantum-behaved PSO algorithm; particle swarm optimization; performance seeking control; turbofan engine; Abstracts; Educational institutions; Electronic mail; Engines; Estimation error; Optimization; Aeroengine; Nonlinear Estimation; Parameter Estimation; Performance Seeking Control; Quantum-behaved PSO;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference (CCC), 2012 31st Chinese

Conference_Location

Hefei

ISSN

1934-1768

Print_ISBN

978-1-4673-2581-3

Type

conf

Filename

6390255