基于k均值聚类的自动稳压器智能控制

B. Abegaz, J. Kueber
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引用次数: 6

摘要

未来的网络物理系统由分布在广泛地理区域的电压调节器组成。本文提出了一种适用于网络物理系统的电压调节器智能控制方法。该方法使用K-means聚类算法实现,该算法使用来自电压和电流传感器的数据,计算调节器之间变化的相关性,并生成比例反馈。在无法获得传感器数据的情况下,使用先进的估计方法。结果表明,与其他控制电压调节器的方法相比,该方法可以将网络、功率依赖系统的性能提高94.5%,在超调方面提高9.52%,在响应时间方面提高9.52%。
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Smart Control of Automatic Voltage Regulators using K-means Clustering
The future cyber physical systems consist of voltage regulators distributed across wide geographical areas. In this paper, a smart control approach of voltage regulators is presented for cyber physical system applications. The approach is implemented using K-means clustering algorithms that use data from voltage and current sensors, compute the correlation of changes across the regulators and generate a proportional feedback. Advanced estimation methods are used in cases where the data from the sensors was not available. The results show that the approach could be used to improve the performance of networked, power dependent systems by 94.5% in terms of overshoot and 9.52% in terms of response time as compared to other methods of controlling voltage regulators.
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