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

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4 Author(s)
Yin Dawei ; Naval Acad. of Armament, Shanghai, China ; Chang Bin ; Yan Xianrong ; Feng Yubo

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.

Published in:

Control Conference (CCC), 2012 31st Chinese

Date of Conference:

25-27 July 2012