Click for new scientific resources and news about Corona[COVID-19]

Paper Information

Journal:   AMIRKABIR   Fall 2003 , Volume 14 , Number 56-A; Page(s) 1075 To 1090.
 
Paper: 

AUTOMATIC TRAIN CONTROL IMPROVEMENT USING FUZZY MULTISTAGE DYNAMIC ‎OPTIMIZATION

 
 
Author(s):  SANDID ZADEH M.A., MENHAJ M.B.
 
* 
 
Abstract: 

In this paper a new method based on multistage fuzzy control using intelligent optimization techniques is proposed to optimize the automatic train control system. In this method the energy function which elaborates the train power consumption is first minimized by applying Kuhn Tucker conditions. As a result the switching points at which the control strategies are changed between acceleration coasting constant speed and braking are determined considering the track specifications including gradients and curvatures as well as the practical train model. Since in constant speed strategy the energy optimization leads to infinite changes in control inputs which is not practically possible a multistage fuzzy control based on fuzzy dynamic programming with fuzzy termination time is incorporated to overcome this difficulty. Multistage fuzzy control will optimize other significant goals involving safety traceability in speed and accuracy in distance and limit the number of switching among different strategies. Hence the method will satisfy the practical requirements. This method considers the running time between two stations as independent and controllable variables therefore the calculated strategies are very useful and appropriate for traffic control which the time regulations make a vital and important role. The simulation results will demonstrate the efficiency of proposed method.

 
Keyword(s): AUTOMATIC TRAIN CONTROL, INTELLIGENT TRAIN CONTROL, RAILWAY SIGNALLING CONTROL
 
References: 
  • ندارد
 
  Persian Abstract Yearly Visit 56
 
Latest on Blog
Enter SID Blog