A Novel Rotor Position Detection Method for Sensorless Control of Magnetic-Geared Permanent-Magnet Brushless Motor

2013 ◽  
Vol 49 (7) ◽  
pp. 3961-3964 ◽  
Author(s):  
Yunchong Wang ◽  
S. L. Ho ◽  
Fu ◽  
J. X. Shen
Keyword(s):  
Permanent Magnet ◽  
Detection Method ◽  
Sensorless Control ◽  
Rotor Position ◽  
Brushless Motor ◽  
Position Detection

scholarly journals Speed Sensorless Control Based on Initial Rotor Position Detection for EESM

2022 ◽  
Vol 2022 ◽  
pp. 1-15
Author(s):  
Feng Cai ◽  
Ke Li ◽  
Xiaodong Sun
Keyword(s):  
High Efficiency ◽  
Detection Method ◽  
Sensorless Control ◽  
Regulation System ◽  
Speed Sensorless ◽  
Position Information ◽  
Injection Method ◽  
Rotor Position ◽  
Position Detection ◽  
Signal Injection

Electrically excited synchronous motor (EESM) is widely used in many large equipment drives because of its strong overload capacity, high efficiency, and adjustable power factor. The research and development of a high-performance EESM control system can realize the high combination of energy-saving speed regulation and green environmental protection and has a high social effect and economic value. In this paper, the signal injection method is used to obtain the initial rotor position information of EESM. Sliding Fourier transform is used to improve the initial position angle detection method based on the rotor signal injection method, and the improved method is compared with the traditional voltage integration method. Rotor high-frequency signal injection method was used to detect the rotor position information of the motor during operation, and the influence of the damping winding on the rotor signal injection method was analyzed. On the premise that the damping winding had no influence on the method, a method of obtaining the rotor position information of EESM without a speed sensor was designed. Finally, the speed sensorless regulation system using the initial rotor position detection method is simulated, which verifies the accuracy of the proposed speed sensorless control scheme.

scholarly journals Rotor Position Estimation Approaches for Sensorless Control of Permanent Magnet Traction Motor in Electric Vehicles: A Review

2021 ◽  
Vol 12 (1) ◽  
pp. 9
Author(s):  
Yong Li ◽  
Hao Wu ◽  
Xing Xu ◽  
Xiaodong Sun ◽  
Jindong Zhao
Keyword(s):  
Permanent Magnet ◽  
Sensorless Control ◽  
Position Estimation ◽  
Control Technology ◽  
Permanent Magnet Motor ◽  
Traction Motor ◽  
Position Information ◽  
Rotor Position ◽  
Control Techniques ◽  
Speed Range

Permanent magnet traction motor has the advantages of high efficiency, high power density, high torque density and quick dynamic response, which has been widely used in the traction field of electric vehicle. The high-performance control of permanent magnet traction motor depends on accurate rotor position information, which is usually obtained by using mechanical position sensors such as hall sensor, encoder and rotary transformer. However, the traditional mechanical sensor has the disadvantages of high cost, large volume and poor anti-interference ability, which limits the application of permanent magnet motor. The sensorless control technology is an effective way to solve the above-mentioned problem. Firstly, the sensorless control techniques of permanent magnet motor are classified. The sensorless control techniques of permanent magnet motor for rotor initial position, zero-low speed range, medium-high speed range and full speed range are deeply described and compared. Finally, the development trend of sensorless control technology of permanent magnet traction motor is prospected.

scholarly journals Research on sensorless control method of permanent magnet synchronous motor based on iterated cubature Kalman filter

2019 ◽  
Vol 103 (1) ◽  
pp. 003685041989027
Author(s):  
Shi Peicheng ◽  
Wang Chen ◽  
Zhang Rongyun ◽  
Wang Suo
Keyword(s):  
Kalman Filter ◽  
Permanent Magnet ◽  
Sensorless Control ◽  
Permanent Magnet Synchronous Motor ◽  
Estimation Method ◽  
Synchronous Motor ◽  
Position Estimation ◽  
Motor Speed ◽  
Rotor Position ◽  
Cubature Kalman Filter

Aiming at the problems of high cost, increased volume, low reliability, and environmental interference caused by sensor installation on permanent magnet synchronous motor, estimation method for motor speed and rotor position is proposed based on iterated cubature Kalman filter algorithm and applied to permanent magnet synchronous motor sensorless control. First, discrete mathematical model of permanent magnet synchronous motor in α-β coordinate system is established. Then, based on cubature Kalman filter and iterated cubature Kalman filter, simulation model of sensorless vector control system with dual closed-loop of permanent magnet synchronous motor speed and current is established. Also, simulation verification of two working conditions with given rotation speed and load is carried out. Finally, hardware experimental verification platform is built based on TMS320F28335 chip. Both simulation analysis and experimental results show that iterated cubature Kalman filter application to sensorless control of permanent magnet synchronous motor demonstrates good anti-load variation interference, stable motor operation, high motor speed and rotor position estimation accuracy, which suits the application with high requirement for precise motor control and mean important reference value and promotion significance.

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