Semi-Active Suspension System of Train Based on Nonlinear Neural Networks

Journal of South China University of Technology (Natural Science Edition) ›› 2005, Vol. 33 ›› Issue (12): 75-77,91.

Previous Articles Next Articles

Semi-Active Suspension System of Train Based on Nonlinear Neural Networks

Ding Wen-si¹ Bu Ji-ling²

1.College of Automotive Engineering,South China Univ.of Tech.,Guangzhou 5 10640,Guangdong,China;2.Vehicle Research Institute,Southwest Jiaotong Univ.,Chengdu 610031,Sichuan,China

Received:2005-01-14 Online:2005-12-25 Published:2005-12-25
Contact: 丁问司(1968-)，男，副教授，主要从事轨道车辆悬架及电液控制研究 E-mail:traindamper@tom.com
About author:丁问司(1968-)，男，副教授，主要从事轨道车辆悬架及电液控制研究
Supported by:
广东省自然科学基金博士科研启动基金资助项目(04300105)；华南理工大学自然科学基金资助项目(E504 1010)

Abstract

Abstract:

In order to improve the lateral ride quality of train without endangering safety,this paper illustrates a lat-eral semi-active suspension system based on the skyhook rule.A controlling model of the proposed system is then put forward based on n0nlinear neural networks,with a neural identifier and a controller being also designed.The simulated and tested resuhs show that.compared with the status without any controlling step,the peak of lateral ac-celerati0n of the semi-active suspension system controlled by neural networks decreases obviously,and that the lateral ride quality of train is efectively improved,with the lateral ride item (the value of )being improved by 9.04% in the simulation and 15.9% in the actual testing.

Key words: train, semi-active suspension, damper, nonlinear neural network

Ding Wen-si Bu Ji-ling. Semi-Active Suspension System of Train Based on Nonlinear Neural Networks[J]. Journal of South China University of Technology (Natural Science Edition), 2005, 33(12): 75-77,91.

[1]	SU Jindian, YU Shanshan, HONG Xiaobin. A Self-Supervised Pre-Training Method for Chinese Spelling Correction [J]. Journal of South China University of Technology(Natural Science Edition), 2023, 51(9): 90-98.
[2]	ZHEN Xiaoxia, LIU Guiyuan, DONG Chunguang, et al. Study on Natural Vibration Characteristics of Cable Network-Damper System [J]. Journal of South China University of Technology(Natural Science Edition), 2023, 51(7): 61-71.
[3]	LU Yiqin, XIE Wenjing, WANG Haihan, et al. Security-Aware Scheduling Method for Time-Sensitive Networking [J]. Journal of South China University of Technology(Natural Science Edition), 2023, 51(5): 1-12.
[4]	CHEN Qingjun, LI Bingzhou, CHEN Yinian, et al. Seismic Performance of Hoop Head Tenon Frame Structure Reinforced by Sparrow Brace Type Damper [J]. Journal of South China University of Technology(Natural Science Edition), 2023, 51(4): 9-20.
[5]	ZHANG Guangchi, LE Wenying, PANG Haijian, et al. Transmit Power Minimization Algorithms for IRS-Assisted Cognitive Simultaneous Wireless Information and Power Transfer Networks [J]. Journal of South China University of Technology(Natural Science Edition), 2023, 51(3): 110-123.
[6]	MAO Jun, HAN Chenyu, CHEN Minggao . Transient Aerodynamic Characteristics of Train Exiting from Bridge Tunnel Area Under Cross Wind [J]. Journal of South China University of Technology(Natural Science Edition), 2023, 51(2): 54-64.
[7]	XU Xiao, ZHANG Chuanyang, XIAO Gangfeng, et al. On the Mechanism of Multi-process Compound Spinning for Thin-walled Deep Cup Shaped Parts [J]. Journal of South China University of Technology(Natural Science Edition), 2022, 50(9): 109-115.
[8]	DU Jianming, FANG Qian , WANG Gan, et al. Characteristics of Transient Pressure and Pressure Gradient of a High-Speed Train Travelling Through a Double-Track Tunnel [J]. Journal of South China University of Technology(Natural Science Edition), 2022, 50(9): 58-68.
[9]	CHEN Kejia, ZHENG Jingjing. Product Feature Extraction Method Based on Seed Constraint-LDA [J]. Journal of South China University of Technology(Natural Science Edition), 2022, 50(6): 37-48,70.
[10]	CHEN Peng, JIANG Yongqi, YU Tianwei, et al. Quadrotor Trajectory Planning Method Based on Local Soft-Constrained Optimization [J]. Journal of South China University of Technology(Natural Science Edition), 2022, 50(6): 27-36.
[11]	DU Jianming, FANG Qian, LI Jianye. Influences of Train to Tunnel Area Ratio on Aerodynamic Pressure Characteristics of High-Speed Railway Tunnel Wall [J]. Journal of South China University of Technology(Natural Science Edition), 2022, 50(5): 56-64.
[12]	LUO Xiaoyong, CHENG Qian, CHENG Junfeng, et al. Mechanical Properties of Hydrochloric Acid Corroded Concrete Under Cyclic Loading [J]. Journal of South China University of Technology(Natural Science Edition), 2022, 50(5): 73-85.
[13]	ZHENG Yajing, LI Yaohui, JIN Wenzhou. Connection Scheme Optimization of Last Trains of Urban Mass Transit Network Based on Considering the Transfer Passengers [J]. Journal of South China University of Technology(Natural Science Edition), 2022, 50(5): 32-39,72.
[14]	SU Jindian, HONG Xiaobin, YU Shanshan. Semantic Textual Similarity Justification based on Multi-Model Ensemble [J]. Journal of South China University of Technology(Natural Science Edition), 2022, 50(4): 1-9.
[15]	LÜ Hui, ZHAO Jiawei, MAO Haikuan, et al. Analysis of the Powertrain Mount Systems of Electric Vehicles by Considering the Correlation of Probabilistic Parameters [J]. Journal of South China University of Technology(Natural Science Edition), 2022, 50(3): 65-72.

Semi-Active Suspension System of Train Based on Nonlinear Neural Networks

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments