A position-and-velocity sensorless control for brushless DC motors using an adaptive sliding mode observer

1992 ◽  
Vol 39 (2) ◽  
pp. 89-95 ◽  
Author(s):  
T. Furuhashi ◽  
S. Sangwongwanich ◽  
S. Okuma
2014 ◽  
Vol 615 ◽  
pp. 11-17
Author(s):  
Lai Cai Ju ◽  
Zi Qiang Wang ◽  
Meng Yu He

This paper designs and implements a sliding mode observer with line-to-line trapezoidal back-EMF for brushless DC (BLDC) motor. Through the detection of three phase voltage and the current, the phase to-phase back-EMF is observed, and then the position signal and the rotor speed are estimated. The corresponding relationship between back-EMF and six rotor positions of the motor is established in this paper. With saturation function instead of sign function, the line current difference is used as the sliding surface. The whole control system employs an inner current PI loop with an outer speed PI loop. Simulation results show that the designed observer can correctly estimate the position information and speed, with strong robustness to changes of system parameters and external disturbances.


2003 ◽  
Vol 123 (6) ◽  
pp. 762-763 ◽  
Author(s):  
Hiroshi Takashima ◽  
Mutuwo Tomita ◽  
Zhiqian Chen ◽  
Mitsuhiko Satoh ◽  
Shinji Doki ◽  
...  

2013 ◽  
Vol 850-851 ◽  
pp. 572-575
Author(s):  
Song Lin Wang ◽  
Shun Yi Xie

The key issue of feedback torque calculation in BLDCM-DTC system is how to get the accurate estimation of back-emf. The influences form the deviation of resistance and inductance on traditional back-emf sliding mode observer (SMO) and relevant torque observation results are analyzed. To advance the accuracy of the torque estimation, an adaptive sliding mode observer is designed to estimate the back-emf of the BLDCM and then get torque estimation from the back-emf estimation. The proposed sliding mode observer can also implement the online identification of the stator resistance and inductance simultaneously. Simulation results demonstrate the proposed method is valid and effective.


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