Study of position detection method for sensorless brushless DC electromotor

Author(s):  
Jin Yong ◽  
Yang Yan ◽  
Bi Qiang ◽  
E. Lu
2003 ◽  
Vol 145 (4) ◽  
pp. 64-77 ◽  
Author(s):  
Hidehiko Sugimoto ◽  
Takeshi Ichikawa ◽  
Keisuke Hosoi ◽  
Shoji Kawasaki

2012 ◽  
Vol 614-615 ◽  
pp. 1190-1194
Author(s):  
Ying Yang ◽  
Xiao Wei Tu ◽  
Zhi Xuan Yu

Zero-crossing detection with voltage comparator in position detection method based on the AC component of Supposing Neutral Point(SNP) induced sensitivity to noise. In this paper, it is proposed that the ASIC ML4425 should integrate AC component instead of the terminal voltage and phase-locked loop(PLL) was used to determine the proper commutation sequence for the BLDC motor. Basic principle and implementation of the ASIC-based sensorless controller will be presented and experiments will be given to verify the control strategy.


2011 ◽  
Vol 230-232 ◽  
pp. 877-883
Author(s):  
Qing Shan Ji ◽  
Hong Yan Hao

The principles and characteristics of the sensorless brushless DC motor rotor position detection were analyzed by using inductive method and third harmonic back-EMF detection method. A composite rotor position detection method was proposed in full speed range (including zero speed). At zero speed (static state) inductive method was used to determine the initial rotor position, and it was bases of starting and controlling for the brushless DC motor; at low speed third harmonic back EMF detection method was used. Analysis shows that the composite test method can estimate the rotor position, and it is to achieve the position sensorless brushless DC motor to run a viable method.


Author(s):  
Umesh Kumar Soni ◽  
Ramesh Kumar Tripathi

Background: Brushless DC motors are highly efficient motors due to its high torque to weight ratio, compact design, high speed operating capability and higher power density. Conventional Hall sensor based rotor position sensing is affected by the heating, vibration, interference and noise. Objective: The innovative, cost effective and easily implementable sensorless techniques are essential in order to achieve high efficiency, reduced current and reduced torque pulsations. Further, a delay free, high load fast startup is also important issue. Methods: In this paper an extensive review of various techniques based on the detection of freewheeling diode current, phase back EMF zero crossoing point detection, back EMF integration method and third harmonic back EMF was done. The study and effect of various PWM strategies on back EMF detection was studied. Later on the sensorless schemes based on flux linkage estimation and flux linkage increment were introduced. The load torque observers, unknown input observers, sliding mode observers, L∞-induced observers, H ∞ - deconvolution filter for back EMF estimation were also reviewed. As the brushless DC motors have no back EMF at starting and for back EMF based commutation a minimum speed is required for sufficient back EMF. Therefore various strategies of open and close-loop reduced current startup have been studied to achieve effective commutation without reverse torque. Initial position detection (IPD) schemes, which are mostly based on saliency and current response to inductance variation, is effective where reverse torque is strictly prohibited. A detailed review of these initial position detection techniques (IPD) has also been presented. Results: The detailed mathematical and graphical analysis has been presented here in order to understand the working of the state-of-art sensorless techniques. Conclusion: The back EMF detection using direct and indirect methods of terminal voltage filtering have the problem of delay and attenuation, PWM noise, freewheeling diode spikes and disturbance in detected back EMFs is a drawback. The parameter detuning, underestimation and overestimation, offset problem, system noise and observer gain variation etc. limit the applicability of observer based technique. Therefore, a more robust and precise position estimation scheme is essential.


Author(s):  
Joanna Bekiesch ◽  
Gunter Schroder ◽  
Tae-Hyoung Kim ◽  
Jin-Woo Ahn

Sign in / Sign up

Export Citation Format

Share Document