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Publishing Language: Chinese

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

Siji WANG1, Yuwei ZHANG1, Kaiming HUANG2( ), Biao LYU2, Haifeng ZHAO2, Hu WANG1, Mingfu LIAO1
School of Power and Energy, Northwestern Polytechnical University, Xi’an 710072, China
AECC Hunan Power Machinery Research Institute, Zhuzhou 412002, China
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Abstract

Targeting the problems of increasing variable speed working range, complex critical speed layout and difficult rotor vibration control of helicopter power turbine rotors, a rotor system optimization method of variable speed turboshaft engine based on Improved Particle Swarm Optimization (IPSO) algorithm is proposed. Firstly, by using the finite 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.

Keywords

helicoptervariable speed power turbineimproved particle swarm optimization algorithmfinite element methoddynamic optimization design
CLC number: V235.11 Document code: A

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Acta Aeronautica et Astronautica Sinica
Volume 45 Issue 1,
January 2024
Article number: 228608
DOI: 10.7527/S1000-6893.2023.28608
Cite this article:
WANG S, ZHANG Y, HUANG K, et al. An optimization method for helicopter power turbine rotor system based on improved particle swarm optimization algorithm. Acta Aeronautica et Astronautica Sinica, 2024, 45(1): 228608. https://doi.org/10.7527/S1000-6893.2023.28608

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Received: 24 February 2023
Revised: 27 March 2023
Accepted: 10 May 2023
Published: 15 January 2024
© 2024 The Journal of Acta Aeronautica et Astronautica Sinica
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