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Multi-factor Coupled Modeling And Vibration Reduction Optimization For Horizontal Vibration Of High-speed Elevator Car System And Its Application

Posted on:2020-09-15Degree:MasterType:Thesis
Country:ChinaCandidate:T LiFull Text:PDF
GTID:2392330572482063Subject:Mechanical design and theory
Abstract/Summary:PDF Full Text Request
Due to the development of urbanization,more and more people are gathering in cities,but the urban land resources are extremely limited.In order to solve this conflict,a large number of high-rise buildings emerge on the ground,and high-speed elevators have been developed rapidly.At present,elevator technology has been quite mature in both functional and safety aspects,and elevator comfort has gradually become a research hotspot.Vibration is one of the most important factors affecting elevator comfort,mainly through the passenger's feeling inside the car to affect user comfort.The main reasons are the structure,performance parameters and external loads of the elevator.How to design the parameters of the elevator reasonably and reduce the vibration has become the key to improve the comfort of the elevator.Based on the project of Zhejiang University-Hengda "Research on the Core Technology of Vibration Analysis and Vibration Absorption Optimum Design of High-speed Elevator",the horizontal vibration of high-speed elevator car system is modeled and solved,and the mechanism of vibration is analyzed.At the same time,based on the randomness of the system,including parameter randomness and excitation randomness,the vibration response of the car system is decomposed to optimize the important structure of the car system.And performance parameters,reduce car vibration,improve elevator comfort,in order to obtain better user experience.The main contents of this paper are as follows:In the first chapter,the significance and technical background of the research are introduced.At the same time,the related technologies of elevator vibration are summarized.This paper mainly summarizes the coupling modeling technology,random vibration analysis technology and vibration control technology of high-speed elevator.Based on the shortcomings of the existing methods,the research content and organizational frame,work of this paper are put forward.In the second chapter,the horizontal vibration modeling and frequency characteristic analysis of the high-speed elevator car system are carried out.The contact relationship between the rolling guide and the guide rail at the end and side of the guide rail is analyzed,and the constitutive mechanics equation of the rolling guide shoe is established.Considering the influence of many factors on the horizontal vibration of the car,a multi-factor coupling model of the horizontal vibration of the car system is established.The system structure is analyzed and the frequency characteristics of the car system are analyzed by numerical method.In the third chapter,the response decomposition and sensitivity calculation of the horizontal vibration of the high-speed elevator car system are carried out.Based on the traditional research methods,considering the uncertainty of paralmeters and excitation in the vibration model of the car system,the complex random vibration of the car system is decomposed.At the same time,based on the numerical calculation method,the sensitivity of the car vibration response is solved,and the statistical characteristics of the car vibration response are calculated.In the fourth chapter,the vibration reduction optimization design of high-speed elevator car system is carried out.The relevant criteria and evaluation indexes of elevator vibration response are introduced.According to the relevant theoretical research and experience summary,the factors that have relatively great influence on the vibration response of the car system are selected as design variables,and the objective function of vibration reduction optimization is designed to establish the multi-objective optimization model of the car system.According to the probability distribution form of each parameter,Gibbis method is used to select the selected parameters.Data space is sampled and RBF neural network is used to construct the agent model.Based on the basic principle of bat algorithm,BA-EO algorithm is proposed.Based on the maximLum and minimum strategy,the vibration reduction optimization design of car system is carried out,so as to reduce the acceleration response of the system and improve the comfort of users.In the fifth chapter,the vibration reduction optimization design of a certain type of high-speed elevator is carried out in combination with the elevator vibration project.According to the parameters of the actual elevator car system,a coupling model of horizontal vibration is established to analyze the frequency characteristics of the system.Considering the uncertainty of parameters and excitation,the response of the system is decomposed and the sensitivity and statistical characteristics of the acceleration response are calculated.According to the optimization model established in Chapter IV,the vibration reduction optimization design of the elevator is carried out by using BA-EO algorithm,combining with the actual production strip.The optimum combination of parameters is moderately adjusted to reduce the vibration response of the elevator and improve the comfort of the elevator.In the sixth chapter,the research content of the full text is summarized,and the further research work is prospected.
Keywords/Search Tags:car system, multi-factor coupling model, compound random vibration, vibration reduction optimization design
PDF Full Text Request
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