Title :
The simulation research for the ATO model based on fuzzy predictive control
Author :
Zhu, Jinling ; Feng, Xiaoyun ; He, Qing ; Xiao, Jian
Author_Institution :
Intelligent Control & Simulation Eng. Res. Center, Southwest Jiaotong Univ., Chengdu, China
Abstract :
The train control system is non-linear with large time-delay. It is difficult to get its accurate mathematic model and optimized control solution. Based on the characteristics of train operation control system, a predictive control algorithm is studied in this paper. A satisfactory optimization model and associate algorithm for the maximal operation ability of locomotive are established. The strategies of train maximal capability manipulating control are also proposed. The simulation of train running process based on the proposed model and algorithm is carried on, and the test results show the validity of the model and the algorithm.
Keywords :
delay systems; fuzzy control; locomotives; nonlinear systems; optimal control; predictive control; railways; ATO model; fuzzy predictive control; large time-delay; locomotive; mathematic model; maximal operation ability; nonlinear system; optimization model; optimized control; train maximal capability manipulating control; train operation control system; Automatic control; Control system synthesis; Control systems; Equations; Mathematical model; Mathematics; Nonlinear control systems; Prediction algorithms; Predictive control; Predictive models;
Conference_Titel :
Autonomous Decentralized Systems, 2005. ISADS 2005. Proceedings
Print_ISBN :
0-7803-8963-8
DOI :
10.1109/ISADS.2005.1452060