神经模糊控制在交流电机驱动监控系统中的应用

Proceedings of the 20th IEEE Instrumentation Technology Conference (Cat. No.03CH37412) Pub Date : 2003-05-20 DOI:10.1109/IMTC.2003.1208025

L. Cristaldi, Massimo Lazzaroni, A. Monti, F. Ponci

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引用次数: 17

摘要

如今，工业应用需要合适的监控系统，能够识别任何涉及经济损失的效率下降。本文表明，可以有效地利用来自通用监测系统的信息来实现能够监测交流电机驱动的无传感器仪器和提供有用风险系数的诊断工具。该方法基于对虚拟仪器采集的线路信号进行复杂的数字处理。在Matlab环境下实现了所采用的小波算法，并利用合适的神经模糊算法对风险系数进行了阐述。

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A neuro-fuzzy application for AC motor drives monitoring system

Nowadays industrial applications require suitable monitoring systems able to identify any decrement in the efficiency involving economical losses. This paper shows that the information coming from a general purpose monitoring system can be usefully exploited to realize a sensorless instrument able to monitor an ac motor drive and diagnostic tools providing useful risk coefficients. The method is based on a complex digital processing of the line signals acquired by means of a Virtual Instrument. The employed wavelet algorithms have been implemented in a Matlab environment and risk coefficients are elaborated by means of suitable neuro fuzzy algorithms.

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Proceedings of the 20th IEEE Instrumentation Technology Conference (Cat. No.03CH37412)

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