Application of QPSO Algorithm in Aeroengine Maximum Thrust Optimization

Author

Wang, Xiaoping ; Wang, Fawei ; Xue, Jianping ; Li, Fei

Author_Institution

Aeronaut. Autom. Control Eng. Dept., AFEUEC, Xi´´an, China

Volume

2

fYear

2010

fDate

5-6 June 2010

Firstpage

304

Lastpage

306

Abstract

A new and practical solution, Quantum-behaved Particle Swam Optimization (QPSO) algorithm, is applied to Aeroengine maximum thrust optimization implemented for some turbo fan engine. Simulation is carried out under different altitudes and velocities and shows that thrust can be increased by 7%~9%, 3%~5% more than by Particle Swam Optimization (PSO) algorithm. The influence of initial values on PSO algorithm is reduced and the problem of being easily trapped in local optimal values is solved as well. Apparently, the algorithm is of great application value.

Keywords

aerospace control; aerospace engines; particle swarm optimisation; QPSO algorithm; aeroengine maximum thrust optimization; particle swam optimization algorithm; quantum-behaved particle swam optimization; turbo fan engine; Automatic control; Blades; Control system synthesis; Engines; Mathematical model; Particle swarm optimization; Quantum computing; Surges; Temperature control; Turbines; Particle Swam Optimization algorithm; Performance optimization; Quantum-behaved Particle Swam Optimization algorithm; Turbo-fan engine;

fLanguage

English

Publisher

ieee

Conference_Titel

Computing, Control and Industrial Engineering (CCIE), 2010 International Conference on

Conference_Location

Wuhan

Print_ISBN

978-0-7695-4026-9

Type

conf

DOI

10.1109/CCIE.2010.193

Filename

5492015