Multiple-model self-tuning fuzzy PID control of braking process of electric multiple unit

被引：0

作者：

机构：

[1] School of Electrical and Electronic Engineering, East China Jiaotong University

[2] Key Laboratory of Advanced Control and Optimization of Jiangxi Province, East China Jiaotong University

来源：

Yang, H. (yhshuo@263.net) | 1600年 / Science Press卷 / 36期

关键词：

Braking process; Electric multiple unit (EMU); Multiple models; PID control; Self-adaptive control;

D O I：

10.3969/j.issn.1001-8360.2014.03.008

中图分类号：

学科分类号：

摘要：

Braking performance of electric multiple units (EMUs) is subject to braking models, running environments, line conditions, drivers operations and other constraints. Establishing an effective model of the braking process constitutes the foundation for realizationg of safe and reliable braking operation. On the basis of the braking characteristics curves and operation data of EMU Type-380AL of series CRH2 (China Railway High-speed), multiple local linear models were built by data-driven modeling to describe the dynamic characteristics of the braking process. The model switching scheme was employed to fulfil online selection of the optimal matching model with the smallest accumulative errors. Then self-tuning of speed and accurate stopping were performed by the adaptive fuzzy PID control algorithm. Simulation results show the proposed method facilitates good braking performance and ensures highly efficient, safe and energy-saving operation.

引用

页码：42 / 48

页数：6

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