A PLL-Based Online Estimation of Induction Motor Consumption Without Electrical Measurement

Doget, Thierry; Etien, Erik; Rambault, Laurent; Cauët, Sébastien

doi:10.3390/electronics8040469

Cited by 5 publications

(5 citation statements)

References 22 publications

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“…This solution allows simultaneous estimation of IF(t) and IP(t) and has been used extensively in power grid monitoring [36][37][38]. However, as has been shown in [39], its use in the case where the amplitude and the frequency vary simultaneously requires modifications of the structure. In the following, we choose to use a dynamic model of the current and to identify its parameters.…”

Section: Refmentioning

confidence: 99%

A Tacholess Order Analysis Method for PMSG Mechanical Fault Detection with Varying Speeds

et al. 2021

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This article deals with the detection of mechanical faults in synchronous machines from single current measurement at variable speed. The proposed approach is based on an order tracking method in which the analysis signal is sampled as a function of the mechanical angle. In this case, the spectral components become independent of the speed and the frequency analysis can be exploited. Order tracking is generally implemented from a position measurement. In this work we present a method that allows us to estimate this position and the analysis signal from only one current measurement. The proposed approach allows an intuitive adjustment of the algorithm parameters. Secondly, a statistical method is used to finalize the diagnosis. At variable speed, this type of method is difficult to implement and we show that order tracking makes it possible to simplify the analysis. The procedure is tested in simulation and on a experimental test bench.

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Section: Refmentioning

confidence: 99%

A Tacholess Order Analysis Method for PMSG Mechanical Fault Detection with Varying Speeds

et al. 2021

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“…More details are given in [21]. This version of the PLL does not work correctly for signals having both a variation of the frequency and a variation of the magnitude.…”

Section: Demodulation Approachmentioning

confidence: 99%

Software Sensors for Order Tracking Applied to Permanent Magnet Synchronous Generator Diagnostics: A Comparative Study

et al. 2021

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The paper deals with software sensors which facilitates the diagnosis of electrical machines in non-stationary operating conditions. The technique targeted is order tracking for which different techniques exist to estimate the speed and angle of rotation. However, from a methodological point of view, this paper offers a comparison of several methods in order to evaluate their performance from tests on a test bench. In addition, to perform the tests, it is necessary to initialize the different methods to make them work correctly. In particular, an identification technique is proposed as well as a way to facilitate initialization. The example of this paper is that of a synchronous generator. Angular sampling allows the spectrum to be stationary and the interpretation of a possible defect. The realization of the angular sampling and the first diagnostic elements require the knowledge of two fundamental quantities: the speed of rotation and the angular position of the shaft. The estimation of the rotation speed as well as the estimation of the angular position of the shaft are carried out from the measurement of an electric current (or three electric currents and three voltages). Four methods are proposed and evaluated to realize software sensors: identification technique, PLL (Phase Locked Loop), Concordia transform and an observer. The four methods are evaluated on measurements carried out on a test bench. The results are discussed from the diagnosis of a mechanical fault.

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“…In the field of electrical engineering, PLLs have been widely used in the analysis of electrical networks [ 22 , 23 , 24 ]. For synchronous motor, PLLs are exploited as virtual speed sensors from currents measurements [ 25 , 26 ]. In the following, a PLL is specifically designed for operations at variable frequency and amplitude to simultaneously estimate the rotation frequency and the mechanical position.…”

Section: Electrical Currents Analysismentioning

confidence: 99%

Mechanical Fault Diagnostic in PMSM from Only One Current Measurement: A Tacholess Order Tracking Approach

Allouche

Etien

Rambault

et al. 2020

Sensors

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This article presents a mechanical fault diagnosis methodology in synchronous machines using only a single current measurement in variable speed conditions. The proposed methodology uses order tracking in order to sample the analysis signal as a function of the rotor angle. The spectrum of the signal is then independent of speed and it could be employed in frequency analysis. Order tracking is usually applied using rotor position measurement. In this work, the proposed method uses one current measurement to estimate the position as well as the analysis signal (rotation speed). Furthermore, a statistical approach is used to create a complete diagnosis protocol. At variable speed and with only one current measurement the diagnosis is challenging. However, order tracking will allow simpler analysis. The method is proved in simulations and experimental set-up.

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A PLL-Based Online Estimation of Induction Motor Consumption Without Electrical Measurement

Cited by 5 publications

References 22 publications

A Tacholess Order Analysis Method for PMSG Mechanical Fault Detection with Varying Speeds

A Tacholess Order Analysis Method for PMSG Mechanical Fault Detection with Varying Speeds

Software Sensors for Order Tracking Applied to Permanent Magnet Synchronous Generator Diagnostics: A Comparative Study

Mechanical Fault Diagnostic in PMSM from Only One Current Measurement: A Tacholess Order Tracking Approach

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