Cycle Polling Algorithm Optimization andSimulation Research of MVB Network

WANG Tao; WANG Li-de; ZHOU Jie-qiong

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Cycle Polling Algorithm Optimization andSimulation Research of MVB Network

更新时间：2021-12-13

- Cycle Polling Algorithm Optimization andSimulation Research of MVB Network
- Electric Drive for Locomotives Issue 6, Pages: 40-45(2013)
- 作者机构：
  
  1. 北京交通大学电气工程学院
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WANG Tao, WANG Li-de, ZHOU Jie-qiong. Cycle Polling Algorithm Optimization andSimulation Research of MVB Network. [J]. Electric Drive for Locomotives (6):40-45(2013)
DOI：

WANG Tao, WANG Li-de, ZHOU Jie-qiong. Cycle Polling Algorithm Optimization andSimulation Research of MVB Network. [J]. Electric Drive for Locomotives (6):40-45(2013) DOI：

摘要

多功能车辆总线（MVB）主设备通过预置的周期扫描表实现对周期信息的实时调度。针对使用传统方法构建周期扫描表所造成的负载信息均匀度较差这一缺陷，在对构建周期扫描表这一组合优化问题进行数学建模的基础上，提出了一种基于免疫遗传算法的优化方案。该算法通过采用“免疫算子”能够有效避免抗体适应度的退化，达到高效求得周期扫描表最优解、周期信息负载均匀度大幅提高的目标。并在OPNET Modeler网络仿真平台中搭建了由MVB主、从设备构成的MVB网段，通过仿真验证了优化方案的有效性。

Abstract

The MVB master realized the real-time scheduling on periodicdata with preset period pollingtable.This article focused on thebad performance of information load uniformity based on the period pollingtable in tradition way. According to the immune-genetic algorithm,an optimization was delivered with a series of mathematical modeling work.This algorithm contributed to effectively avoid the degenerationof antibody fitness, and gain the targets of optimal solution for period pollingtable and great improvement in periodic data load uniformity.Besides,a network segment of MVB was established on OPNET Modeler with one master and several slaves,and the simulation resultsproved the effectiveness of the optimized solution.

关键词

MVB周期扫描表免疫遗传算法OPNET

Keywords

MVBperiod pollingtableimmune-genetic algorithmOPNET

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