Silent and parameter independent hybrid sensorless control for SPMSM based on current oversampling

Landsmann, P.; Paulus, Dirk; Kennel, Ralph

doi:10.1109/sled-precede.2013.6684513

Cited by 7 publications

(6 citation statements)

References 18 publications

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“…As (13) shows, the phase current derivative is directly related to the transient leakage inductance if the stator resistance voltage drop and back EMF are eliminated, assuming a constant DC-link voltage. In this work, current slopes are calculated using leastsquare linear regression method [10].…”

Section: B Saliency Extraction Using Voltage Pulsesmentioning

confidence: 99%

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Sensorless Saliency-Based Control of Dual Induction Machines Under Dynamic Load Imbalances Using Three Current Sensors

Montero

Vogelsberger²,

Wolbank

2023

IEEE Trans. Ind. Electron.

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To perform vector control of single-inverter dual induction motors, drives are standardly equipped with current and position sensors. In medium-power railway applications, a shaft encoder is usually mounted on each motor, and the inverter output current is measured using two current sensors. Yet, this configuration features some disadvantages. First, torque-sharing cannot be computed because stator current of each motor is unknown. Similarly, saliency extraction of each motor is not achievable since individual current drawn by each motor is not measured. An option that achieves torque-sharing calculation is to attach two current sensors to each motor, provided that both rotor positions are known. However, industrial inverter/control platforms considered offer a maximum of three input channels for current sensors. Besides, some industry fields tend towards encoderless speed control. Therefore, this paper proposes to use three current sensors in total and no shaft encoders. Thanks to a special current sensor arrangement and a voltage step excitation method, saliency-based encoderless control is achieved. In addition, a method is presented to estimate torque-sharing. Experimental measurements, taken on a dual induction motor test bench, will show the capability of the proposed methodology to identify individual loading as well as excellent encoderless control performance.

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Section: B Saliency Extraction Using Voltage Pulsesmentioning

confidence: 99%

“…Such models have been deeply investigated in the context of encoderless dual motor drives [5][6][7]. However, saliency extraction can provide meaningful information in the very low speed region [12], using either high frequency injection [8][9][10] or voltage step excitation [11][12][13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Sensorless Saliency-Based Control of Dual Induction Machines Under Dynamic Load Imbalances Using Three Current Sensors

Montero

Vogelsberger²,

Wolbank

2023

IEEE Trans. Ind. Electron.

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“…As a result, the angle of the excitation voltage changes with the six sectors of the fundamental wave. The current responses of the actual longest active SVPWM state, together with one of the inactive states, are measured to obtain current slopes by means of a least-square linear regression method as in [7] and [16].…”

Section: B One Active Angular Voltage Step Excitationmentioning

confidence: 99%

“…Usually one saliency (in our case, slotting) is used for sensorless control, whereas the others are acting as disturbance. In order to eliminate all saliencies except slotting, filtering [7] or harmonic LUTs [17] can be used. In this work, saliencies of the motor are identified using a cost function as in [16], in terms of amplitude and phase shift.…”

Section: Saliency Identification and Eliminationmentioning

confidence: 99%

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Induction Machine Sensorless Control Based on Saliency Extraction That Uses One Single SVPWM Active State

Montero

Vogelsberger²,

Baumgartner

et al. 2022

IEEE Trans. on Ind. Applicat.

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Some induction motors present saliencies that periodically modify the air-gap flux following a sinusoidal shape. Consequently, these modulations are reflected in the transient leakage inductance. Therefore, transient leakage inductance can be expressed as a constant term or offset, which comes from the symmetrical machine, plus all motor saliency sinusoids, modulated by the mentioned saliencies. Since saliencies are linked to the rotor position or flux, calculation of transient leakage inductance enables encoderless vector control. A way to calculate transient leakage inductance is to excite the machine with voltage steps and estimate the resulting phase current slopes since they are inversely proportional to phase transient inductance. For creating a vector, only the three current slopes resulting from a single active state are sufficient. The vector sum of the three current slopes leads to the so-called saliency-offset vector, which is a vector composed of an offset, which is created due to the contribution of the transient inductance offset, plus several saliency phasors, superposed to the offset. To access saliencies, it is critical to accurately identify the offset of the saliency-offset vector, especially in induction motors since offset is much bigger than saliencies. This article presents an advanced signal processing scheme that identifies the offset in the saliency-offset vector, assuming offset amplitude differs depending on the voltage step applied. Using a feedforward scheme, the offset is eliminated, leading to a saliency vector where rotor slotting can be extracted from. A novel excitation is proposed to reduce additional current distortions coming from the one-active excitation.

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Convergence Investigation of Injection-Based Encoderless Control Algorithms for RSMs in Deep Magnetic Saturation

2022

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Silent and parameter independent hybrid sensorless control for SPMSM based on current oversampling

Cited by 7 publications

References 18 publications

Sensorless Saliency-Based Control of Dual Induction Machines Under Dynamic Load Imbalances Using Three Current Sensors

Sensorless Saliency-Based Control of Dual Induction Machines Under Dynamic Load Imbalances Using Three Current Sensors

Induction Machine Sensorless Control Based on Saliency Extraction That Uses One Single SVPWM Active State

Convergence Investigation of Injection-Based Encoderless Control Algorithms for RSMs in Deep Magnetic Saturation

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