基于多目标粒子群算法的起动过程仿真

Simulaiton of Starting Process Based on Multi-objective Particle Swarm Optimization Algorithm

在深入研究某型航空发动机起动过程的基础上,利用改进的多目标粒子群算法对其进行了仿真分析,结果验证了该多目标粒子群算法的快速性、收敛性和仿真的准确性,为改进、调整部附件参数提供了重要依据和先期理论验证,提高了发动机试车的安全性,降低了改装成本。

The starting process of a certain type of aero-engine is studied and simulated based on the improved multi-objective particle swarm optimization on this paper.Then the rapidity and convergence of the optimization and the accuracy of smulation are proved.The study lays the foundation for the improvement and restructure of the starting parts.