Modelling and model optimization of locomotive brake control system

Author

Jianfeng Liu ; Weihua Gui ; Zhiwu Huang ; Youmei Liu ; Yuxiang Liu

Author_Institution

Sch. of Inf. Sci. & Eng., Central South Univ., Changsha, China

fYear

2011

fDate

16-18 Dec. 2011

Firstpage

1256

Lastpage

1260

Abstract

Considering the complexity of modeling locomotive braking system, an approach of constructing the T-S model based on coevolutionary optimization algorithm is proposed. The approach employs the fuzzy clustering algorithm to identify the initial fuzzy system. And considering both the precision and the celerity in a practical project, the structure and parameters of the fuzzy system are optimized by a coevolutionary algorithm. The approach reduces the structure of the model as well as ensures the accuracy of model. The performance of the proposed method is validated by modeling and simulating of the locomotive braking system.

Keywords

brakes; evolutionary computation; fuzzy control; fuzzy systems; locomotives; optimisation; pattern clustering; T-S model; coevolutionary optimization algorithm; fuzzy clustering algorithm; fuzzy system; locomotive brake control system; model optimization; modeling locomotive braking system complexity; modelling; Accuracy; Biological cells; Clustering algorithms; Data models; Encoding; Input variables; Pressure control; T-S model; coevolutionary algorithm; fuzzy clustering algorithm; locomotive braking system;

fLanguage

English

Publisher

ieee

Conference_Titel

Transportation, Mechanical, and Electrical Engineering (TMEE), 2011 International Conference on

Conference_Location

Changchun

Print_ISBN

978-1-4577-1700-0

Type

conf

DOI

10.1109/TMEE.2011.6199433

Filename

6199433