Self-Adaptive High-Frequency Injection Based Sensorless Control for Interior Permanent Magnet Synchronous Motor Drives

Kumar, Piyush; Bottesi, Omar; Calligaro, Sandro; Alberti, Luigi; Petrella, Roberto

doi:10.3390/en12193645

Cited by 9 publications

(7 citation statements)

References 52 publications

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“…Our quadratic model extension predicts the second harmonic content of the d-and q-axis currents, (37) and (38). The second harmonics can be rearranged into forms 2) ) and i q(2) = I q(2) cos(2ω c t + ϕ q(2) ), (39) where I d( 2) and I q(2) are the amplitudes, ϕ d(2) and ϕ q(2) are the phases of the second harmonics of the currents.…”

Section: Validation Of the Second Harmonic Generationmentioning

confidence: 89%

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Permanent Magnet Synchronous Motor Model Extension for High-Frequency Signal Injection-Based Sensorless Magnet Polarity Detection

et al. 2022

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In this paper, a novel extended permanent magnet synchronous motor model is presented that incorporates a quadratic flux-current function to represent the polarity-dependent saliency. The proposed model enables the design of sensorless polarity detection algorithms required by the initial position detection of permanent magnet synchronous motors. The novelty of the model is that it integrates the polarity-dependent saliency into the traditional machine model and introduces a new machine parameter, the polarity-dependent saliency coefficient, to specify the Hessian matrix of the flux-current function. A measurement method is presented for determination of the elements of the Hessian and the polarity-dependent saliency coefficient. The solution of the model is given for high-frequency sinusoidal pulsating voltage injection. Experimental results show that the proposed extended model accurately predicts the amplitudes and phases of the second harmonics of the motor currents, which are the carriers of the polarity-dependent information. This information enables a current measurement-based polarity detection algorithm using the phase difference between the fundamental and second harmonic of the apparent d-axis current. Both the presented measurement data and the proposed model show that injection in the d-direction is optimal for polarity detection.

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Section: Validation Of the Second Harmonic Generationmentioning

confidence: 89%

“…In all of the above-mentioned cases, the polarity-dependent quantity is related to the curvature of the d-direction magnetization curve. Usually the phase resistance is neglected in order to simplify the high-frequency machine model [4,12,[35][36][37].…”

Section: Magnet Polarity Detection Techniquesmentioning

confidence: 99%

Permanent Magnet Synchronous Motor Model Extension for High-Frequency Signal Injection-Based Sensorless Magnet Polarity Detection

et al. 2022

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“…The polaritydependent quantity is always related to the curvature of the d direction magnetization curve. High-frequency models usually neglect the phase resistances [11], [12], [40], [43].…”

Section: Polarity Detectionmentioning

confidence: 99%

Saliency Model Extension for Sensorless Initial Position and Polarity Detection of Permanent Magnet Synchronous Motors

Szalay¹,

Fodor

Enisz

et al. 2021

IEEE Access

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In this paper, we propose an extended permanent magnet synchronous motor model that incorporates a quadratic flux-current function to determine the polarity-dependent saliency and develop a sensorless initial position detection method that is capable of polarity detection. The quadratic model extension is based on the second-order Taylor polynomial of the flux-current function. We present the model equations in both the stator-and the rotor-oriented reference frames as well as the Park and inverse Park transforms of the quadratic terms and Hessian matrices. The transient behavior and the dependency of the extended model on the rotor position have been validated. The proposed initial position detection method injects non-modulated even square wave voltage signals and relies only on phase-current measurements. We analyzed the effect of the pulse length on the errors of the position estimation and polarity detection. We provide machine parameter-based approximations of the current components dependent on the rotor position and, based on them, present a quantitative pulse-length design method.

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“…Due to their high power density, Surface-Mounted PMSM (SPMSM) is often used in applications with space constraints like the EPAS. Unlike Interior Permanent Magnet Synchronous Motors (IPMSMs), traditional high-frequency injection techniques cannot be used for startup and low-speed operation [3]. This is due to the lack of rotor saliency [4], making it challenging for the system to operate without any physical positional feedback at low and zero speed ranges.…”

Section: Introductionmentioning

confidence: 99%

A Vector Controlled Drive System for Electrically Power Assisted Steering Using Hall-Effect Sensors

et al. 2021

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Permanent Magnet Synchronous Motors (PMSMs) have been replacing conventional DC motors in numerous automotive applications. One of which is Electrically Power Assisted Steering Systems (EPAS). PMSMs offer better performance and a longer lifetime while slightly increasing the system's cost and complexity. In a vector-controlled PMSM drive system, the rotor position sensor's resolution plays a vital role in the overall system performance. The better the resolution, the higher the cost. Although numerous sensor-less control algorithms currently exist, machine startup and operation with dynamically changing set-points and loads still impose a challenge for such an approach. For this reason, inexpensive Hall-Effect sensors have been recently used along with a proper position estimation algorithm to provide high-resolution rotor position. In this paper, an implementation of a vector-controlled drive system is applied to an EPAS using only low-resolution Hall-Effect sensors. Additionally, an improved rotor position estimation algorithm based on speed integration is developed to decrease estimation errors and torque ripples in the case of direction reversal. This is to cater to the dynamically changing commands encountered during the normal power assist operation. Comparisons of the proposed rotor position estimation system with the conventional technique are introduced. A complete representation of the proposed system is built using MATLAB/Simulink. An experimental setup is developed and built around a Motor-Driven Power Steering (MDPS) unit which is a column-assist type EPAS system made by Hyundai Mobis. The simulation and experimental results are presented to verify and evaluate the effectiveness of the proposed algorithm.

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Self-Adaptive High-Frequency Injection Based Sensorless Control for Interior Permanent Magnet Synchronous Motor Drives

Cited by 9 publications

References 52 publications

Permanent Magnet Synchronous Motor Model Extension for High-Frequency Signal Injection-Based Sensorless Magnet Polarity Detection

Permanent Magnet Synchronous Motor Model Extension for High-Frequency Signal Injection-Based Sensorless Magnet Polarity Detection

Saliency Model Extension for Sensorless Initial Position and Polarity Detection of Permanent Magnet Synchronous Motors

A Vector Controlled Drive System for Electrically Power Assisted Steering Using Hall-Effect Sensors

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