Transducerless position and velocity estimation in induction and salient AC machines

Jansen, P.L.; Lorenz, Robert D.

doi:10.1109/ias.1994.345440

Cited by 391 publications

(165 citation statements)

References 15 publications

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“…At low and zero speed, some form of additional excitation has been proposed, such as the injection of a high frequency (HF) voltage or current [1][2][3] or the injection of test pulses [4][5][6]. However, these techniques introduce significant additional current distortion either due to the injected signals themselves (as in the HF injection methods and the INFORM method [4]) or due to the insertion of the minimum pulse width in the operation of the drive system when applying the Fundamental PWM Excitation method (FPE) [6].…”

Section: Introductionmentioning

confidence: 99%

Modelling and Simulation of a Sensorless Control of a True Asymmetric Cascade H-Bridge Multilevel Inverter PMSM Drives

Saleh¹,

Sumner²

2016

IJPEDS

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This paper introduces a new method to track the saliency of an AC motor fed by a multilevel converter through measuring the dynamic current response of the motor line currents due the IGBT switching actions. The method uses only the fundamental PWM waveform (i.e there is no modification to the operation of the multilevel converter) similar to the fundamental PWM method proposed for a 2-level converter. Simulation results are provided to demonstrate the performance of the complete sensorless speed control of a PM motor driven by such a converter over a wide speed range. Finally the paper introduces a comparison between the 2-level converter and the multilevel converter in terms of the reduction of the total harmonic distortion (THD) using the fundamental PWM method in both cases.

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Section: Introductionmentioning

confidence: 99%

Modelling and Simulation of a Sensorless Control of a True Asymmetric Cascade H-Bridge Multilevel Inverter PMSM Drives

Saleh¹,

Sumner²

2016

IJPEDS

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“…The electromotive force can be estimated from the motor currents and voltages. On the other hand, in low speed regions, signal injections are necessary for position estimation because the electromotive force decreases (3)- (5) . Response signals to the injected signals have position information because of the saliency of the IPMSMs.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Signal Injection Method Combined with EEMF-based Position Sensorless Control of IPMSM Drives

2015

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This paper deals with an amplitude-adjusting method for signal injection in position sensorless control of interior permanent magnet synchronous motor (IPMSM) drives. Signal injection is necessary for position estimation at standstill and low speeds. Response signals to the injected signals have position information because of the saliency of the IPMSMs. The position information appears in inductances depending on the rotor positions; therefore, time derivative of motor currents has to be measured directly or indirectly. The position estimation method discussed in this paper is based on an extended electromotive force (EEMF) model. Although the EEMF model is mainly used in middleand high-speed regions of IPMSM drives, it can be applied to all speed regions by combining it with signal injection methods. We adopt a signal injection method to stabilize the estimation and reduce the effects of disturbances. Then, the amplitude of the signal currents is adjusted to maintain a sufficiently high amplitude of EEMF against disturbances. Signal setting becomes easier because the lower limit of EEMF can be adjusted against the degree of disturbances.

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“…Various sensorless methods have been proposed. They can be classified into two groups: high frequency signal injection (HFSI) [1]- [4] and back-electromotive force (back-EMF) based methods [5]- [16]. The HFSI based sensorless methods can provide relatively exact rotor position at standstill and in low-speed operating regions (typically less than 5% of the rated speed of a machine) at the expense of audible noises and additional energy losses.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Back-EMF Estimators for Sensorless Control of Permanent Magnet Synchronous Motors

Lee¹,

Park²

2012

Journal of Power Electronics

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This paper presents a comparative study of position sensorless control schemes based on back-electromotive force (back-EMF) estimation in permanent magnet synchronous motors (PMSM). The characteristics of the estimated back-EMF signals are analyzed using various mathematical models of a PMSM. The transfer functions of the estimators, based on the extended EMF model in the rotor reference frame, are derived to show their similarity. They are then used for the analysis of the effects of both the motor parameter variations and the voltage errors due to inverter nonlinearity on the accuracy of the back-EMF estimation. The differences between a phase-locked-loop (PLL) type estimator and a Luenberger observer type estimator, generally used for extracting rotor speed and position information from estimated back-EMF signals, are also examined. An experimental study with a 250-W interior-permanent-magnet machine has been performed to validate the analyses.

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Transducerless position and velocity estimation in induction and salient AC machines

Cited by 391 publications

References 15 publications

Modelling and Simulation of a Sensorless Control of a True Asymmetric Cascade H-Bridge Multilevel Inverter PMSM Drives

Modelling and Simulation of a Sensorless Control of a True Asymmetric Cascade H-Bridge Multilevel Inverter PMSM Drives

Adaptive Signal Injection Method Combined with EEMF-based Position Sensorless Control of IPMSM Drives

Evaluation of Back-EMF Estimators for Sensorless Control of Permanent Magnet Synchronous Motors

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