Application of QPSO Algorithm in Aeroengine Performance Optimization

A new and practical solution, Quantum-behaved Particle Swam Optimization (QPSO) algorithm, is applied to aeroengine performance 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% under maximum thrust mode, 0.3%~3.7% more than that by Particle Swam Optimization (PSO) algorithm while fuel consumption can be decreased by 2%~3% under the minimum fuel consumption mode. 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.