An optimization method for helicopter power turbine rotor system based on improved particle swarm optimization algorithm

被引：0
|
作者：
Wang S. [1 ]
Zhang Y. [1 ]
Huang K. [2 ]
Lyu B. [2 ]
Zhao H. [2 ]
Wang H. [1 ]
Liao M. [1 ]
机构：
[1] School of Power and Energy, Northwestern Polytechnical University, Xi’an
[2] AECC Hunan Power Machinery Research Institute, Zhuzhou
来源：
Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica | 2024年 / 45卷 / 01期
关键词：
dynamic optimization design; finite element method; helicopter; improved particle swarm optimization algorithm; variable speed power turbine;
D O I：
10.7527/S1000-6893.2023.28608
中图分类号：
学科分类号：
摘要：
Targeting the problems of increasing variable speed working range，complex critical speed layout and diffi⁃ cult rotor vibration control of helicopter power turbine rotors，a rotor system optimization method of variable speed tur⁃ boshaft engine based on Improved Particle Swarm Optimization（IPSO）algorithm is proposed. Firstly，by using the fi⁃ nite element method，the dynamic model for the rotor system of the variable speed turboshaft engine is established and the dynamic characteristics of the power turbine rotor are analyzed. Secondly，based on the IPSO，the dynamic optimization design objective of helicopter rotor system is proposed and the optimization design process of variable speed power turbine rotor system is systematically established. Finally，the simulation rotor experiment system is built to conduct the comparison test before and after optimization. The experimental results show that the rotor vibration amplitude decreases by 73. 5% under the optimized scheme compared with the original scheme，and the working range of stable variable speed is increased from 77. 5%−100% to 55%−100%，which verifies the effectiveness of the established dynamic optimization design method and provides a reference for the design of helicopter rotor systems. © 2024 Chinese Society of Astronautics. All rights reserved.
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