An extended electromotive force model for sensorless control of interior permanent-magnet synchronous motors

Chen, Zhiqian; Tomita, Mutuwo; Doki, Shinji; Okuma, Shigeru

doi:10.1109/tie.2003.809391

Cited by 624 publications

(68 citation statements)

References 9 publications

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“…Among many model-based sensorless methods, so-called extended EMF (EEMF)-based methods have been popularly adapted for IPM and synchronous reluctance motors where magnetic saliency exists [21][22][23][24]. However, the problem with these methods is that sensorless operation can fail due to parameter mismatches or variations, especially in low speed operation or mode transition [25].…”

Section: Introductionmentioning

confidence: 99%

Improved Sensorless Control of Interior Permanent Magnet Sensorless Motors Using an Active Damping Control Strategy

Cho

2016

Energies

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This paper proposes the active damping control strategy for position sensorless operation of an interior permanent magnet (IPM) motor. The proposed method is applied to both the current controller and the position estimator to control damping characteristics of the IPM drive system. By actively increasing the damping characteristics of the system with the proposed method, the current control and the position estimation loops become immune to parameter variation of the stator resistance which may degrade the accuracy of the position estimator. To analyze the accuracy of the position estimator with and without the proposed method, a small-signal analysis is carried out for low speed operation where the effect of the parameter variation is relatively large due to a low signal-to-noise ratio (SNR). Additionally, an open-loop voltage to angular velocity transfer function including the electrical and the mechanical parameters is investigated. Since no hardware modifications are necessary, the proposed method can be easily implemented just in software routines. Both the simulations and the experimental validations in which the proposed active damping control strategy is incorporated with the existing extended electromotive force (EMF)-based sensorless algorithm are provided to support the effectiveness of the proposed method.

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Section: Introductionmentioning

confidence: 99%

Improved Sensorless Control of Interior Permanent Magnet Sensorless Motors Using an Active Damping Control Strategy

Cho

2016

Energies

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“…In this paper, SMO is designed based on the extended EMF (EEMF) model of IPMSM [29]- [31]. Both currents and EEMF are observed from SMO, and rotor position is obtained using PLL.…”

Section: A Model Based Position Sensorless Controlmentioning

confidence: 99%

Synchronous Switching of Non-Line-Start Permanent Magnet Synchronous Machines From Inverter to Grid Drives

Wang

et al. 2016

IEEE Trans. Power Electron.

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Non-line-start permanent magnet synchronous machines (NLSPMSMs) are normally considered not able to operate stably under grid drive. However, this paper proposes an effective control strategy to achieve soft start and synchronous switching of NLSPMSMs from inverter to grid drives so that to extend the application field. The system electromechanical model during switching is deduced and analysed numerically to verify the stability under grid drive. For the control strategy, model-based sliding-mode observer (SMO) is adopted during soft start for low cost position sensorless drive, and two digital phase lock loops (PLLs) are used to obtain the phases of grid and inverter voltages for phase tracking. Experiments are carried out on five NLSPMSMs with different rated powers and velocities, and test results show that all these prototypes can be safely switched to grid drive and robust to load variation. Tested waveforms are coincident with numerical analysis, and the system efficiencies of NLSPMSMs under inverter and grid drives are compared. Index Terms-Non-line-startpermanent magnet synchronous machine (NLSPMSM), system stability, soft start, synchronous switching. R 1 Phase winding resistance of NLSPMSM f Permanent magnet flux linkage of NLSPMSM J Mechanical inertia k D Damping coefficient of friction resistance Manuscript

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“…When operating in low speed region, signal injection methods can achieve great performance (Choi & Seok, 2008;Piippo, Salomaki, & Luomi, 2008;Shinnaka, 2008), while in high speed region, back-EMF or rotor flux-based sensorless algorithms are widely applied. Using PMSM mathematic model, one can calculate the rotor flux or back-EMF, then obtain rotor position and speed (Cendoya, Solsona, Toccaceli, & Valla, 2002;Chen, Liu, & Chen, 2010;Chen, Tomita, Doki, & Okuma, 2003;Chern et al, 2012;Genduso, Miceli, Rando, & Galluzzo, 2010;Harnefors & Nee, 2000;Kim, Choi, Lee, & Lee, 2011;Morimoto, Kawamoto, Sanada, & Takeda, 2002;Yuan et al, 2013). But in real world, there may be sampling DC offset and parameters variation, thus a main problem in sensorless control is how to get accurate rotor speed and position under such conditions.…”

Section: Introductionmentioning

confidence: 99%

Sensorless control of salient PMSM with adaptive integrator and resistance online identification using strong tracking filter

Peijun

et al. 2015

International Journal of Electronics

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This article presents a sensorless control approach of salient PMSM with an online parameter identifier. Adaptive Integrator is proposed and utilised for the estimation of active flux and rotor position. As a result, integrator overflow caused by DC offset is avoided. Meanwhile, an online stator resistance identification algorithm using strong tracking filter is employed, and the identified stator resistance is fed back to the estimating algorithm. Thus, the estimating algorithm can calculate the rotor position correctly. Simulations and experimental results validate the feasibility of both adaptive integrator and the parameter identification method.

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An extended electromotive force model for sensorless control of interior permanent-magnet synchronous motors

Cited by 624 publications

References 9 publications

Improved Sensorless Control of Interior Permanent Magnet Sensorless Motors Using an Active Damping Control Strategy

Improved Sensorless Control of Interior Permanent Magnet Sensorless Motors Using an Active Damping Control Strategy

Synchronous Switching of Non-Line-Start Permanent Magnet Synchronous Machines From Inverter to Grid Drives

Sensorless control of salient PMSM with adaptive integrator and resistance online identification using strong tracking filter

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