Control of Axial Flux Permanent Magnet Motor by the PIPCRM method at standstill and at low speed

Wiśniewski, J.; Koczara, W.

doi:10.1109/epepemc.2008.4635599

Cited by 8 publications

(5 citation statements)

References 4 publications

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“…Trying to reduce sensitivity new analysis has been proposed [8]. It is called as proportions of current responses and is described by (6), (7), (8). Presented method allows the PIPCRM method to increase its accuracy..…”

Section: Basis Of the Pipcrm Methodsmentioning

confidence: 98%

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Sensorless control of the axial flux permanent magnet synchronous motor at standstill and at low speed

Wiśniewski

Koczara

2009

2009 Compatability and Power Electronics

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The paper presents a simple sensorless method, which can be used at standstill. Therefore method can be used to determine initial poles position of the axial flux permanent magnet motor. Moreover presented method can yield rotor position at low speed. An appropriate speed range for the method is limited. The paper shows the way of extend that speed range. Identification of rotor position is provided by current responses which are result of the single test voltage step. This paper deals with theory of the method confirmed by laboratory results on experimental set with 40 kVA / 16 poles / 3000 rpm axial flux permanent magnet motor.

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Section: Basis Of the Pipcrm Methodsmentioning

confidence: 98%

“…The main problem is sensitivity of analysis on test voltage step parameters. Trying to reduce sensitivity new analysis has been proposed [8]. It is called as proportions of current responses and is described by (6), (7), (8).…”

Section: Basis Of the Pipcrm Methodsmentioning

confidence: 99%

Sensorless control of the axial flux permanent magnet synchronous motor at standstill and at low speed

Wiśniewski

Koczara

2009

2009 Compatability and Power Electronics

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“…Such methods called as sensorless and they are field of research for many researchers [1], [2], [3]. In recent publications [4], the method PIPCRM (Position Identification by Parallel Current Rate Measurement) has been presented. That method can determine the poles position of the permanent magnet machine at standstill or at low speed.…”

Section: Introductionmentioning

confidence: 99%

Sensorless position identification of permanent magnet motor by zero voltage vector

Wiśniewski

Koczara

2011

2011 7th International Conference-Workshop Compatibility and Power Electronics (CPE)

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The paper presents a simple sensorless method, which can be used to determine poles position of a permanent magnet axial flux motor. Described method is related to impact of a back electromotive force on current shape produced when a zero voltage vector is applied. A goal of this method is poles position detection for speed range from 2% of nominal speed of the motor. The goal of zero voltage vector method is fulfilling gap between method for initial position detecting e.g. PIPCRM and simple back electromotive force estimation method. Presented method has been tested on experimental set using 40 kVA / 16 poles / 3000 rpm axial flux permanent magnet motor.

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“…A technical feature of a typical PMSM drive, i.e., the need to use a shaft position sensor, whose value is required in vector control for conversion between coordinate systems and may be used for determining speed, can be considered as a disadvantage. The elimination of the mechanical sensor for determining the shaft position is a subject of research still being developed in various research centers [9][10][11][12][13][14][15][16] and will allow vector control without the need for a position sensor. This will increase the reliability of the drive, reduce its costs, and increase its compactness.…”

Section: Introductionmentioning

confidence: 99%

Position Estimation at Zero Speed for PMSMs Using Artificial Neural Networks

Urbański

Janiszewski

2021

Energies

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This paper presents a method for shaft position estimation of a synchronous motor with permanent magnets. Zero speed and very low speed range are considered. The method uses the analysis of high-frequency currents induced by the introduction of additional voltage in the control path in the stationary coordinate system associated with the stator. An artificial neural network estimates the sine and cosine values necessary in the Park’s transformation units. This method can achieve satisfactory accuracy in the case of low asymmetry of inductance in the direct and quadrature axes of the coordinate system associated with the rotor. The TensorFlow/Keras package was used for artificial network calculations and the scikit-learn package for preprocessing. Aggregating the outputs of several artificial neural networks provides an opportunity to reduce the resultant estimation error. The use of as few as four networks has enabled the error to be reduced by approximately 20% compared to a single example network.

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Control of Axial Flux Permanent Magnet Motor by the PIPCRM method at standstill and at low speed

Cited by 8 publications

References 4 publications

Sensorless control of the axial flux permanent magnet synchronous motor at standstill and at low speed

Sensorless control of the axial flux permanent magnet synchronous motor at standstill and at low speed

Sensorless position identification of permanent magnet motor by zero voltage vector

Position Estimation at Zero Speed for PMSMs Using Artificial Neural Networks

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