Performance improvement in a sensorless surface-mounted PMSM drive based on rotor flux observer

Marchesoni, M.; Passalacqua, Massimiliano; Vaccaro, Luis; Calvini, Marco; Venturini, M.

doi:10.1016/j.conengprac.2019.104276

Cited by 20 publications

(3 citation statements)

References 23 publications

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“…Position-sensorless control methods for PMSMs determine the rotor position in terms of electrical angle without a mechanical shaft sensor usually based on phase current measurements and a suitable machine model. Sensorless control techniques that rely on the fundamental excitation model are capable of providing high-performance control above about 3% of the nominal speed when the back electromotive force (back-EMF) is sufficiently large [11][12][13][14][15]. To extend the sensorless operation range towards zero speed, saliency-based methods have been proposed that rely on inductance variation due to geometrical and saturation effects [16,17].…”

Section: Sensorless Control Methods For Pmsmsmentioning

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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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: Sensorless Control Methods For Pmsmsmentioning

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 sensorless control based on motor model to obtain the position and speed overcomes a series of problems caused by the use of sensors. Consequently it has received extensive concerned [3,4].…”

Section: Introductionmentioning

confidence: 99%

Design of Improved Integral Sliding Mode Observer for Surface-Mounted Permanent Magnet Synchronous Motor

Liu¹,

Zhang²,

Cheng³

et al. 2021

Preprint

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An improved integral sliding mode observer (SMO) is proposed for the double closed-loop control system of Surface-Mounted Permanent Magnet Synchronous Motor(SPMSM) in this paper. By observing the stator current, the extended back Electromotive Force(back-EMF)of the motor is estimated, and the position and angle of the rotor are obtained by using the Phase-Locked Loop (PLL) structure. The improved integrated SMO control system not only ensures the system to converge to the equilibrium point in finite time, but also reduces the steady-state error. A new exponential reaching law is also designed in which the sgn (s) of the constant velocity term is replaced by the sigmoid (s). For improving the reaching speed, the gain adaptive function is added to the exponential term of the approaching law to make its coefficient change with the system state. Simulation results compared with the traditional SMO show that the control system based on the improved SMO can reduce observation error, enhance robustness, and suppress chattering phenomenon.

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“…A similar observer is introduced by Bobstov et al [23], and is improved by Choi et al in [24] by adding a feedback loop to surmount the effect of the permanent-magnet flux linkage constant uncertainty. This robust adaptive observer is tested in different experimental conditions [25].…”

Section: Introductionmentioning

confidence: 99%

State-Space Approach for SPMSM Sensorless Passive Algorithm Tuning

et al. 2021

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Sensorless algorithms for Permanent Magnet Synchronous Motors (PMSM) have achieved increasing interest in the technical literature over the last few years. They can be divided into active methods and passive methods: the first inject high-frequency signals exploiting rotor anisotropy, whereas the second are based on observers. Recently, a sensorless control based on a rotor flux observer has been presented in the technical literature, which gives very accurate results in terms of rotor position estimation and robustness. In this paper, the aforementioned observer is considered and a procedure for choosing stabilizing gains of the observer is proposed. The contribution of the paper is three-fold: the mathematical modelling of the rotor flux observer, the methodology for the definition of the observer gains, and the presentation of the experimental results.

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Performance improvement in a sensorless surface-mounted PMSM drive based on rotor flux observer

Cited by 20 publications

References 23 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

Design of Improved Integral Sliding Mode Observer for Surface-Mounted Permanent Magnet Synchronous Motor

State-Space Approach for SPMSM Sensorless Passive Algorithm Tuning

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