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

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.