Weighted Multimodel Predictive Function Control for Automatic Train Operation System

• DOI: 10.1155/2014/520627
• Publication Date: 2014-02-03T21:01:50Z
• Authors: Shuhuan Wen; Jingwei Yang; Ahmad B. Rad; Shengyong Chen; Pengcheng Hao
• Keywords: Model Predictive Control

Train operation is a complex nonlinear process; it difficult to establish accurate mathematical model. In this paper, we design ATO speed controller based on the input and output data of train operation. The method combines multimodeling with predictive functional control according complicated characteristics Firstly, cluster sample by using fuzzy-c means algorithm. Secondly, identify parameter model recursive least square algorithm forgetting factor then local set models process Then at each time, can obtain global about system weighted indicators designing kind weighting error compensation. Thus, designed train. Finally, simulation results demonstrate effectiveness proposed