基于遗传算法的实时信息传输系统的抖动减少

J. Barreiros, E. Costa, J. Fonseca, F. Coutinho
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引用次数: 14

摘要

基于现场总线的分布式系统在嵌入式控制应用中的广泛应用引发了对传输网引起的控制变量抖动问题的研究。在本文中,我们介绍了经典遗传算法的一种变体,我们称之为渐进遗传算法,并展示了如何使用它来减少周期性消息所遭受的抖动。该方法既可以应用于集中控制的现场总线,也可以应用于同步总线。该算法在两种众所周知且广泛使用的基准测试中进行了测试:来自汽车行业的PSA和来自自动引导车辆的SAE。结果表明,如果有足够的传输速率,则可以完全消除抖动,如果没有,则可以获得令人满意的减小抖动。
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Jitter reduction in a real-time message transmission system using genetic algorithms
The wide use of field bus based distributed systems in embedded control applications triggered the research on the problem of transmission network induced jitter in control variables. In this paper we introduce a variant of the classical genetic algorithm, which we call progressive genetic algorithm, and show how it can be used to reduce jitter suffered by periodic messages. The approach can be applied either in centrally controlled field buses or in synchronized ones. The algorithm was tested with two well-known and widely used benchmarks: the PSA, coming from automotive industries and the SAE from automatic guided vehicles. It is shown that it is possible to completely eliminate jitter if the adequate transmission rate is available and, if not, a satisfactory reduced jitter can be obtained.
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