A new sensorless drive of brushless DC motor

Matsui, Nobuyuki; Takeshita, Toru; Yasuda, K.

doi:10.1109/iecon.1992.254568

Cited by 47 publications

(26 citation statements)

References 3 publications

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“…The sensorless speed control algorithm simulated estimates the rotor position and speed by back-EMF estimator using motor current [10,11]. The simulation considered both steady-state and dynamic state characteristics.…”

Section: Simulation Conditionsmentioning

confidence: 99%

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Parallel Sensorless Speed Control using Flux-axis Current for Dual SPMSMs Fed by a Single Inverter

Kim¹,

Yun²,

Yoon³

et al. 2015

Journal of Electrical Engineering and Technology

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-This paper proposes a sensorless speed control algorithm for parallel-connected dual Surface-mounted Permanent Magnet Synchronous Motors (SPMSMs) fed by a single inverter. For stable parallel operation of synchronous motors with a single inverter, each motor has to be constantly kept in the synchronization state regardless of load torque. If the master motor with the larger load is controlled, the synchronous state will be maintained. Therefore, detection of the master motor is essential. Conventionally, the master motor is determined by comparing the rotor position error from the relation between the back-EMF for torque angle and the flux position; consequently, the position sensor is deemed essential for finding the rotor position. The parallel sensorless speed control method proposed in this paper uses no position sensor, instead it compares the flux-axis current from the connection between the back-EMF for torque angle and current in unbalanced load conditions. The results of simulation and experiment conducted verify the efficacy of the proposed method.

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Section: Simulation Conditionsmentioning

confidence: 99%

“…To overcome the disadvantageous of using speed sensor, this paper uses sensorless algorithm. Among the various sensorless algorithm, back-EMF based sensorless algorithm is reasonably chosen, since it is widely used in the industrial field [10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Parallel Sensorless Speed Control using Flux-axis Current for Dual SPMSMs Fed by a Single Inverter

Kim¹,

Yun²,

Yoon³

et al. 2015

Journal of Electrical Engineering and Technology

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show abstract

“…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%

“…A current model-based EMF estimator was developed in [5]- [6]. However, applying this method to an interior PMSM (IPMSM) causes unstable sensorless operation, as the assumptions adopted in the model of the IPMSM are not valid in all operating ranges.…”

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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“…several decades but the major publications have been reported from early of 1990's (7) (8) . The information of the rotor position is included in the back EMF as shown in Fig.…”

Section: Pastmentioning

confidence: 99%

Sensorless Control of IPMSM: Past, Present, and Future

Sul

Kim

2012

IEEJ Journal IA

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This paper presents the history of techniques used for sensorless control of the Interior Permanent Magnet Synchronous Machine (IPMSM) over the last 20 years. The techniques used in the first stage were based on the equivalent circuit of the IPMSM. They extracted rotor position information from the back EMF estimated through simple arithmetic. In the last 10 years, model reference adaptive control or observer-based control techniques have evolved and they have been used for the sensorless control of the IPMSM; however, the rotor position continues to be obtained from the back EMF. Simultaneously, sensorless control based on the magnetic saliency of the IPMSM has been achieved and commercialized. In this paper, an evaluation of the major techniques used for the sensorless control of the IPMSM has been presented, and their limitations have been clarified. Finally, the direction of future development of sensorless control is indicated.

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A new sensorless drive of brushless DC motor

Cited by 47 publications

References 3 publications

Parallel Sensorless Speed Control using Flux-axis Current for Dual SPMSMs Fed by a Single Inverter

Parallel Sensorless Speed Control using Flux-axis Current for Dual SPMSMs Fed by a Single Inverter

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

Sensorless Control of IPMSM: Past, Present, and Future

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