Analysis and Optimization of Rail Vehicles Networked Control System Based on Static Scheduling Algorithm

Author:

Zhu Chun Yuan1,Guo Qi Yi2

Affiliation:

1. Shanghai Second Polytechnic University

2. Tongji University

Abstract

The system performance of rail vehicles NCS mainly depends on communication performance and control performance. Because of considerably limited availability of computing resources, real-time scheduling of shared resources is among the factors that greatly impact system performance. From a real-time control perspective, the problem of real-time scheduling in NCS is illustrated based on timing analysis of a typical NCS. Take the MVB of rail vehicle NCS for example, The theory and practice of synchronously static Rate Monotonic(RM)are introduced into rail vehicle NCS, with special focus on open-up scheduling and adaptive scheduling, which made communication simplified and reliable. At the same time, build objective function of system performance based on state space equation, wholly benefits optimized design of rail vehicle NCS, considering both communication performance and control performance.

Publisher

Trans Tech Publications, Ltd.

Subject

General Engineering

Reference18 articles.

1. Cai Guoqiang, Jia Liming. Inauguration Algorithm Analysis of Wire Train. 《Computer Application》, 2007, vol. 16(5): 1-3.

2. Liu Yang. Lab Platform Design and Completion of Electricomobile Based on. Dalian Jiaotong University Journal. Ph. D thesis. (2009).

3. Yang Fengping, Jiang Yueli. Electronic Traction and Control System Design Based on TCN. Ph.D. thesis Huadong Jiaotong University Journal, 2011, Vol. 28(4): 58-64.

4. WangLei. Ananlysis and Research on Train Network Control System. Xinan Jiaotong University Journal. Ph.D. thesis. (2008).

5. Juan Carlos Moreno, Member, IEEE. A Link-Layer Slave Device Design of the MVB-TCN Bus (IEC 61375 and IEEE 1473-T). IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2007, VOL. 56(4): 3457-3468.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3