Optimization of the MVB Period Polling Table Based on Chaos-genetic Algorithm

SHEN Qiang; LIN Zhiming; YUE Guo

doi:10.13890/j.issn.1000-128x.2018.01.105

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Optimization of the MVB Period Polling Table Based on Chaos-genetic Algorithm

更新时间：2021-12-13

- Optimization of the MVB Period Polling Table Based on Chaos-genetic Algorithm
- Electric Drive for Locomotives Issue 2, Pages: 76-78(2018)
- 作者机构：
  
  1. 华东交通大学电气与自动化工程学院,江西,南昌,330013
- 作者简介：
- 基金信息：
- DOI：10.13890/j.issn.1000-128x.2018.01.105
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SHEN Qiang, LIN Zhiming, YUE Guo. Optimization of the MVB Period Polling Table Based on Chaos-genetic Algorithm. [J]. Electric Drive for Locomotives (2):76-78(2018)
DOI：

SHEN Qiang, LIN Zhiming, YUE Guo. Optimization of the MVB Period Polling Table Based on Chaos-genetic Algorithm. [J]. Electric Drive for Locomotives (2):76-78(2018) DOI： 10.13890/j.issn.1000-128x.2018.01.105.

摘要

按照国际标准IEC 61375 的规则所构成的周期扫描表存在周期信息分布不均匀、带宽利用率较差的问题。在明确周期扫描表生成的规则和约束后，以均匀度为目标函数，使用混沌遗传算法构建数学模型求解。通过实例仿真构建周期扫描表，并与逐步填空法建立的周期扫描表的均匀度比较，显示混沌遗传算法的优越性。

Abstract

The periodic polling table introduced by the international standard IEC 61375 has some drawbacks, such as uneven distribution of periodic message and large difference between the utilizations of MVB bandwidth. After analyzing the rules and constraints of setting the periodic polling table, periodic polling table was built based on chaos-genetic algorithm with the evenness degree as objective function. Finally, the simulation results proved that the chaos-genetic algorithm performs better than the step fill method in the IEC 61375.

关键词

混沌遗传算法周期扫描表多功能车辆总线

Keywords

chaos-genetic algorithmperiod polling tableMVB

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