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Research On Helicopter Main Reduction Semi-active Anti-resonance Vibration Isolation Technology Based On Neural Network

Posted on:2020-05-30Degree:MasterType:Thesis
Country:ChinaCandidate:Z W WangFull Text:PDF
GTID:2392330590493718Subject:Engineering
Abstract/Summary:PDF Full Text Request
The rotor is the main source of helicopter vibration.The installation structure between the final reducer and the body is the only way to transmit vibration.The small structural displacement and good vibration isolation effect are the main technical requirements for the main installation design.The traditional main vibration isolation technology has problems such as small vibration isolation bandwidth and difficult control of passive vibration isolation.The main damping vibration isolation system with better design performance has important engineering significance.Based on the principle of focusing dynamic anti-resonance vibration isolation,this paper adds the method of controlling inertial components(mass)to realize the anti-resonance frequency adjustment of the main vibration isolation system.Firstly,the integrated structure of the mass and the resonant beam is designed,and the finite element model of the main vibration isolation combined with the vibration isolation and dynamic anti-resonance is established.The position of the mass block and the anti-resonance frequency of the main vibration isolation system are studied by the partran simulation.The relationship between the anti-resonance frequency and the multi-solution problem of the mass block position.In order to realize the semi-active control of main vibration isolation,on the basis of BP neural network,the independent motion control method of mass is proposed.The single neural network position prediction algorithm and multi-neural network decision algorithm are designed by Matlab,and the control method is feasible according to the simulation results.The labVIEW program based on neural network is designed to make the system to drive the best mass to the best position of vibration isolation efficiency according to the measured frequency.The feasibility of the control method is verified by simulation and model experiments.
Keywords/Search Tags:Helicopter main reducer, dynamic anti-resonance vibration isolation, Semi-active control, neural network, experimental verification
PDF Full Text Request
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