Multiple operating mode ANFIS modelling for speed control of HSEMU
Multiple operating mode ANFIS modelling for speed control of HSEMU
- New search for: Fu, Yating
- New search for: Yang, Hui
- New search for: Ding, Jinliang
- New search for: Fu, Yating
- New search for: Yang, Hui
- New search for: Ding, Jinliang
High‐speed electric multiple unit (HSEMU) is a complex non‐linear system which runs under three typical operating modes (OMs) including traction, braking, and coasting. With the increasing traffic density of the high‐speed railway, the conventionally manual control strategies may be inapplicable for the HSEMU to maintain a good running performance. To enhance the running performances, in this study, a novel multiple OM (MOM) running model is designed to accurately describe the non‐linear relationship between running speed and controlling force. By utilising the advantages of adaptive neuro‐fuzzy inference system (ANFIS) on non‐linear modelling, this study proposes an MOM‐ANFIS model of HSEMU. On the basis of the established MOM‐ANFIS model, a new speed controller incorporated with OM selection mechanism is designed to achieve speed control of HSEMU followed by a stability analysis of the closed‐loop system. Comparative experimental results using practical running data show that the proposed MOM‐ANFIS model displays better modelling accuracy and the corresponding control strategy achieves improved speed control performances for the HSEMU.
Document information
Multiple operating mode ANFIS modelling for speed control of HSEMU
IET Intelligent Transport Systems ; 12 , 1 ; 31-40
2018-02-01
10 pages
Article (Journal)
Electronic Resource
English
OM selection mechanism design , coasting mode , traction mode , multiple OM running model , HSEMU , fuzzy reasoning , neurocontrollers , speed controller , stability analysis , control system synthesis , fuzzy neural nets , speed control , stability , rail traffic control , traffic density , large‐scale systems , nonlinear relationship , running speed , complex nonlinear system , multiple operating mode ANFIS modelling , braking mode , adaptive neuro‐fuzzy inference system , high‐speed railway , high‐speed electric multiple unit , nonlinear control systems , controlling force , nonlinear modelling , closed‐loop system , adaptive control , closed loop systems , velocity control , MOM‐ANFIS model
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