Chapter
Apr 26, 2012
Optimized Adhesion Control of Electric Locomotives Based on Wavelet Analysis and Cloud Model
Authors: Jingchun Huang [email protected], Jian Xiao, Yi-feng Bai, and Shuang-qing LiaoAuthor Affiliations
Publication: International Conference on Transportation Engineering 2007
Abstract
The driving and braking force of electric locomotives depend on the adhesion force between rail and wheel. The characteristics of adhesion are strongly affected by environment, the conditions between rail and wheel, the design and operation of the locomotive. The adhesion force between rail and wheel has severe nonlinearity and uncertainties. It is very important to realize optimal adhesion control in railway field. In this paper the characteristics of the re-adhesion phenomenon in locomotive traction system were analyzed. The simulation model based on those characteristics was developed. A re-adhesion control method of locomotives based on cloud model and wavelet analysis was proposed. Simulation results show that slips will be suppressed effectively and optimized re-adhesion control can be realized.
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© 2007 American Society of Civil Engineers.
History
Published online: Apr 26, 2012
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ASCE Technical Topics:
- Adhesives
- Analysis (by type)
- Continuum mechanics
- Dynamics (solid mechanics)
- Engineering fundamentals
- Engineering materials (by type)
- Engineering mechanics
- Infrastructure
- Materials engineering
- Mathematical functions
- Mathematics
- Models (by type)
- Motion (dynamics)
- Optimization models
- Rail transportation
- Simulation models
- Solid mechanics
- System analysis
- Transportation engineering
- Uncertainty principles
- Wavelets
Authors
Affiliations
School of Electrical Engineering, Southwest Jiaotong University, Chengdu Sichuan 610031, China Email: [email protected] and School of Mechatronics and Power Engineering, Lanzhou Jiaotong University, Lanzhou Ganshu 730070, China. E-mail: [email protected]
Jian Xiao
School of Electrical Engineering, Southwest Jiaotong University, Chengdu Sichuan 610031, China
Yi-feng Bai
School of Electrical Engineering, Southwest Jiaotong University, Chengdu Sichuan 610031, China
Shuang-qing Liao
School of Electrical Engineering, Southwest Jiaotong University, Chengdu Sichuan 610031, China
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