2013
DOI: 10.4028/www.scientific.net/amr.655-657.1169
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Research of Sensorless Drive of Permanent Magnet Synchronous Motor Based on Power Factor Control

Abstract: For the traditional sensorless vector control systems of permanent magnet synchronous motor, a new sensorless vector control method is proposed based on the power factor control. On the basis of analysis of the mathematical models for the permanent magnet synchronous motor, established a power factor voltage reference frame system. The rotor position and speed is estimated by the control of power factor angle, and then from the point of view of efficiency drive to configure the stator current. This stator curr… Show more

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“…Rotor speed and position information can be obtained by mechanical sensors, but mechanical sensors not only increase the complexity of the system structure, but also increase the cost. In particular, mechanical sensors are susceptible to damage in humid, vibrating and dusty industrial environments, therefore, a sensorless control technology for PM synchronous motors that can reduce cost and improve reliability has received wide attention [1][2][3] . The main sensorless control techniques currently used for permanent magnet synchronous motors are the extended Kalman filter method, the model reference adaptive method, and the sliding mode observer method.…”
Section: Introductionmentioning
confidence: 99%
“…Rotor speed and position information can be obtained by mechanical sensors, but mechanical sensors not only increase the complexity of the system structure, but also increase the cost. In particular, mechanical sensors are susceptible to damage in humid, vibrating and dusty industrial environments, therefore, a sensorless control technology for PM synchronous motors that can reduce cost and improve reliability has received wide attention [1][2][3] . The main sensorless control techniques currently used for permanent magnet synchronous motors are the extended Kalman filter method, the model reference adaptive method, and the sliding mode observer method.…”
Section: Introductionmentioning
confidence: 99%