Research On Optimization Of Helicopter Rotor Dynamic Balance

Helicopter rotor tuning is not only an important issue of the helicopter routine maintenance, butalso the necessary method to improve its reliability, maintainability and supportability. Restrainvibration exciting force by reducing rotor vibration is one of the main technological paths to controlthe helicopter vibration level. Therefore, research on the technology of rotor dynamic balanceadjustment has crucial theoretical significance and engineering value in the field of the helicopter.Rotor as a complex mechanical system is the highest vibration source of the helicopter, so it isessential to adopt proper maintenance to reduce vibration. This paper established the rotor dynamicbalance adjustment model based on rotor dynamic balance test, and applied algorithm to theoptimization of helicopter rotor balance, then reduced the helicopter vibration level effectively. Themain work was as follows:(1) The basic methods of rotor dynamic balance adjustment were introduced and the parametersof rotor adjustment on the vibration of the helicopter were analyzed through rotor dynamic balanceadjustment test.(2) Rotor dynamic balance optimization model was established by General Regression NeuralNetwork. Basing on Helicopter rotor tuning principle, rotor tuning mapping relationship was modeledby General Regression Neural Network, and then the rotor dynamic balance adjustment optimizationmodel was established.(3) On the basis of the traditional algorithms, the hybrid algorithm was applied to theoptimization of rotor dynamic balance model. Comparing the hybrid algorithm with the singlealgorithm, it showed that the convergence speed of the hybrid algorithm was better and the accuracywas higher, so the rotor dynamic balance adjustment efficiency was improved.(4) Comparing the PSO-GA algorithm to the PSO-DE algorithm for rotor dynamic balance, theresult showed that the performance of the PSO-GA algorithm on the rotor dynamic balance was betterthan the PSO-DE algorithm on rotor dynamic balance. Thus it could be seen that PSO-GA algorithmwas more suitable for application to the rotor dynamic balance.