Title :
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
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;
Conference_Titel :
Control Conference (CCC), 2012 31st Chinese
Conference_Location :
Hefei
Print_ISBN :
978-1-4673-2581-3