Title :
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
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;
Conference_Titel :
Computing, Control and Industrial Engineering (CCIE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-4026-9
DOI :
10.1109/CCIE.2010.193