Position sensorless control method of IPMSM applying three shunt sensing PWM inverter using predictive current

Won, Il-Kuen; Hong, Sungwoo; Choo, Kyoung-Min; Kim, Woojae; Kim, Jun-Chan; Lee, Jung-Hyo; Won, Chung-Yuen

doi:10.1109/icems.2017.8056260

Cited by 4 publications

(1 citation statement)

References 2 publications

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“…Connecting three shunt resistors in series to the lower ends of the inverter bridge arms [5][6][7] and then sensing the voltage across the resistors is one way to obtain three-phase current signals for PMSM control. However, this method is more suitable for PMSM inverters with low power and operating voltage due to concerns about resistor power consumption and safety isolation.…”

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confidence: 99%

Three‐phase current reconstruction method for permanent magnet synchronous motor based on current transformer sensors

Cao

Peng

Meng

et al. 2023

Electronics Letters

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The position sensorless permanent magnet synchronous motor (PMSM), with its simple structure, is applied in the aerospace field with high reliability requirements. To drive PMSM safely, the three‐phase current measured from the driver needs to be isolated for the closed‐loop control. And then, the accuracy current measurement is crucial for achieving optimal motor performance. In the paper, current transformer (CT) with centre taps is employed to isolate and measure the high‐frequency current of the inverter switch. Additionally, an algorithm is proposed to reconstruct the switch current into the low‐frequency phase current. Subsequently, the measuring method and the algorithm are applied to an inverter platform, which drives a 100W PMSM. Finally, the reconstructed phase current waveform is compared with the measured phase current waveform, and the experimental results show that the above method is effective and feasible.

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mentioning

confidence: 99%

Three‐phase current reconstruction method for permanent magnet synchronous motor based on current transformer sensors

Cao

Peng

Meng

et al. 2023

Electronics Letters

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Improvement of low‐speed sensorless control with multi‐layer neural network

Maekawa

Tanaka

2022

Electrical Engineering Japan

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In recent years, there has been an increasing demand for position sensorless control in Permanent Magnet Synchronous Motor (PMSM) drives, and various methods have been studied. Switching noise is a problem in the low‐speed sensorless control method that uses the current slope during PWM. Furthermore, another problem is that the inductance does not appear in a sinusoidal distribution owing to magnetic saturation. In this paper, we improve the sensorless control method that estimates the position from the current slope during PWM, which is greatly affected by switching. Additionally, we build a multi‐layer neural network (NN) that directly estimates the position signals by learning a large amount of current data, and verify the driving results in the low‐speed range when the learned NN is incorporated into real‐time control.

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Phase Current Sensing Method Using Three Shunt Resistors to Eliminate Immeasurable Area in Voltage Vector Plane

Kim¹,

Jang

Yoon

2020

J. Electr. Eng. Technol.

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Position sensorless control method of IPMSM applying three shunt sensing PWM inverter using predictive current

Cited by 4 publications

References 2 publications

Three‐phase current reconstruction method for permanent magnet synchronous motor based on current transformer sensors

Three‐phase current reconstruction method for permanent magnet synchronous motor based on current transformer sensors

Improvement of low‐speed sensorless control with multi‐layer neural network

Phase Current Sensing Method Using Three Shunt Resistors to Eliminate Immeasurable Area in Voltage Vector Plane

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