《机电工程》杂志社科技期刊核心期刊论文投稿机电一体化机械、仪表电工自动化、计算机浙江大学主办

Introduction

International Standard Serial Number:

ISSN 1001-4551

Sponsor:

Zhejiang University;

Zhejiang Machinery and Electrical Group

Edited by:

Editorial of Journal of Mechanical & Electrical Engineering

Chief Editor:

ZHAO Qun

Vice Chief Editor:

TANG ren-zhong,

LUO Xiang-yang

Tel:

86-571-87041360,87239525

Fax:

86-571-87239571

Add:

No.9 Gaoguannong,Daxue Road,Hangzhou,China

P.C:

310009

E-mail:

meem_contribute@163.com

Car horizontal vibration prediction method based on guideway multiple excitation correlation

Published:2022-02-23 author:WU Yi, SA Ri-na, QIU Le-miao, et al. Browse: 762 Check PDF documents

Car horizontal vibration prediction method based on

guideway multiple excitation correlation

WU Yi1, SA Ri-na1,2,3, QIU Le-miao2, ZHANG Li-chun3, ZHANG Jing1

(1. College of Mechanical Engineer, Inner Mongolia University of Technology, Hohhot 010051, China;

2. College of Mechanical Engineer, Zhejiang University, Hangzhou 310027, China;

3. Canny Elevator Company Limited, Suzhou 215213, China)

Abstract: There are problems of correlation between multi-source excitation of high-speed elevator guide rail and horizontal vibration of car under the coupling effect of multi-source excitation. Aiming at the problem, a prediction method of horizontal vibration of car based on multi-source excitation correlation of guide rail was proposed. The horizontal vibration model of the cage was established, the multi-source excitation factors of the guide rail were analyzed, and the correlation importance of the multi-source excitation of the guide rail was obtained by the Dematel method. The equivalent stiffness of guide boots, the equivalent damping of guide boots, the vertical distance from the upper guide boots to the cage‘s center of mass were taken and the vertical distance from the lower guide boots to the cage’s center of mass were taken as inputs, and the peak acceleration of horizontal vibration and peak angular acceleration of horizontal vibration were taken as outputs, the cage horizontal vibration support vector machine (SVM) prediction model was established. The cuckoo algorithm was used to optimize the penalty factor and RBF kernel parameters of support vector machine. Finally, the Latin hypercube sampling method was used to get a series of schemes, and the horizontal vibration acceleration peak value and angular acceleration peak value of each scheme were obtained by Simulink simulation as the prediction model sample data, and CS-SVR, SVR, RBF, BP and GA-BP prediction models were established respectively for comparative experiments. Determination coefficient, mean square error, mean relative error and maximum relative error were used to evaluate the prediction model. The results indicate that the error of CS-SVR prediction results is about 5.43% compared with KLK2 prototype experiment, and the prediction effect is the best. The effectiveness of the proposed method is verified.

Key words: high-speed elevator; horizontal vibration; cuckoo algorithm-support vector regression; vibration simulation; vibration prediction

WU Yi, SA Ri-na, QIU Le-miao, et al. Car horizontal vibration prediction method based on guideway multiple excitation correlation［J］.Journal of Mechanical & Electrical Engineering, 2021,38(12):1520-1528,1563.

Advanced Search

Online Office System

Chinese Core Periodicals
Chinese Sci-tech Core Periodicals
SA, INSPEC Indexed
CSA: T Indexed
UPD:Indexed