Extended fuzzy logic controller for high speed train

被引：51
|
作者：
Dong, Hai-rong [1 ]
Gao, Shi-gen [1 ]
Ning, Bin [2 ]
Li, Li [3 ]
机构：
[1] Beijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing 100044, Peoples R China
[2] Beijing Jiaotong Univ, State Key Lab Rail Traff Control & Safety, Beijing 100044, Peoples R China
[3] Beijing MTR Corp Ltd, Beijing 100068, Peoples R China
来源：
NEURAL COMPUTING & APPLICATIONS | 2013年 / 22卷 / 02期
基金：
中国国家自然科学基金;
关键词：
Automatic Train Operation (ATO); Train dynamic model; High speed train; Fuzzy logic control; Speed and displacement tracking; DECENTRALIZED CONTROL; STRATEGIES;
D O I：
10.1007/s00521-011-0681-8
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, two dynamic models of high-speed train are presented, namely a single-mass (SM) model and an unit-displacement multi-particle (UDMP) model. Based on the former, a direct fuzzy logic controller is designed, and on the latter, a new fuzzy controller incorporating the implication logic is designed. Three sets of relevant numerical simulation are provided to demonstrate the effectiveness of the proposed control schemes through comparison.
引用
收藏
页码：321 / 328
页数：8
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