Speed and position estimation of brushless DC motor in very low speeds

2004 ◽  
Author(s):  
Y. Buchnik ◽  
R. Rabinovici
Keyword(s):  
Dc Motor ◽  
Position Estimation ◽  
Brushless Dc Motor ◽  
Brushless Dc ◽  
Low Speeds

EXTENDED KALMAN FILTER BASED BRUSHLESS DC MOTOR FOR ROTOR POSITION AND SPEED CONTROL

2021 ◽  
Author(s):  
Nabiya Ellahi
Keyword(s):  
Kalman Filter ◽  
Extended Kalman Filter ◽  
Reference Signal ◽  
Dc Motor ◽  
Position Estimation ◽  
Brushless Dc Motor ◽  
Zero Crossing ◽  
Rotor Position ◽  
Brushless Dc ◽  
Improved Performance

A method to control speed and rotor position with improved performance has been described in this research. Various techniques are taken into consideration with their detailed description. During this process new methods are also introduced with their pros and cons. The research includes a detailed study of progressive back-Emf sensing strategies. The relevant methods, which can support estimation, are the back Emf zero-crossing method, integration of voltage, and position estimation by flux and inductance. In this thesis, Extended Kalman filter is utilized for position and speed estimation. Firstly, DC voltage will be applied as an input. Extended Kalman Filter is used to perform state estimation while PID controller is employed to regulate the system state following the reference signal. The proposed solution leads to control of the ripple generated in speed and torque of Brushless DC Motor and improved performance.

scholarly journals EXTENDED KALMAN FILTER BASED BRUSHLESS DC MOTOR FOR ROTOR POSITION AND SPEED CONTROL

2021 ◽  
Author(s):  
Nabiya Ellahi
Keyword(s):  
Kalman Filter ◽  
Extended Kalman Filter ◽  
Reference Signal ◽  
Dc Motor ◽  
Position Estimation ◽  
Brushless Dc Motor ◽  
Zero Crossing ◽  
Rotor Position ◽  
Brushless Dc ◽  
Improved Performance

A method to control speed and rotor position with improved performance has been described in this research. Various techniques are taken into consideration with their detailed description. During this process new methods are also introduced with their pros and cons. The research includes a detailed study of progressive back-Emf sensing strategies. The relevant methods, which can support estimation, are the back Emf zero-crossing method, integration of voltage, and position estimation by flux and inductance. In this thesis, Extended Kalman filter is utilized for position and speed estimation. Firstly, DC voltage will be applied as an input. Extended Kalman Filter is used to perform state estimation while PID controller is employed to regulate the system state following the reference signal. The proposed solution leads to control of the ripple generated in speed and torque of Brushless DC Motor and improved performance.

Rotor Position Phase Correction for Sensorless Brushless DC Motor Based on Line Back EMF

2011 ◽  
Vol 347-353 ◽  
pp. 607-610 ◽  
Author(s):  
Zi Cheng Li ◽  
Zi Yu Ou ◽  
Shan Mei Cheng
Keyword(s):  
Control Method ◽  
Phase Error ◽  
Estimation Method ◽  
Dc Motor ◽  
Position Estimation ◽  
Brushless Dc Motor ◽  
Loop Control ◽  
Rotor Position ◽  
Brushless Dc ◽  
On Line

This paper proposes a novel rotor position estimation method based on line back EMF for brushless DC motor (BLDCM). The relationship between position phase error and the symmetric line back EMF is analyzed. It is noted that line back EMF error can exactly reflect rotor position phase error. If the amplitude of line back EMF at the beginning of commutation is equal to the amplitude of line back EMF at the end of commutation, the waveform of line back EMF should be symmetric. Based on the above analysis, a closed loop control method to correct rotor position phase is presented. Line back EMF error is employed to keep the waveform of line back EMF symmetrical by PI controller. This paper also develops a sensorless BLDCM driver to implement the proposed method based on DSP and the experimental results prove the validity of the proposed method.

scholarly journals Initial Rotor Position Estimation of Sensorless Salient-Pole Brushless DC Motor.

1996 ◽  
Vol 116 (7) ◽  
pp. 736-742 ◽  
Author(s):  
Takaharu Takeshita ◽  
Makoto Ichikawa ◽  
Nobuyuki Matsui ◽  
Eiji Yamada ◽  
Ryoji Mizutani
Keyword(s):  
Dc Motor ◽  
Position Estimation ◽  
Brushless Dc Motor ◽  
Rotor Position ◽  
Brushless Dc ◽  
Salient Pole ◽  
Rotor Position Estimation

Position Sensorless Control of Brushless DC Motor

2014 ◽  
Vol 915-916 ◽  
pp. 418-421
Author(s):  
Jin Xiang Fang
Keyword(s):  
Sliding Mode ◽  
Sensorless Control ◽  
Dc Motor ◽  
Position Estimation ◽  
Sliding Mode Observer ◽  
Brushless Dc Motor ◽  
The Novel ◽  
Rotor Position ◽  
Brushless Dc ◽  
Rotor Position Estimation

According to the chattering problem in the traditional sliding mode observer of the position sensorless control of brushless DC motor, a novel quasi sliding mode observer for rotor position estimation was proposed, which took the error between the actual and estimated currents as sliding surface and tracked the actual rotor position according to the mathematical relationship of back EMF and speed of the motor. Then the sensorless control system of the brushless DC motor based on the novel sliding mode observer was designed. Simulation results showed that the novel sliding mode control method could improve the rotor position estimation accuracy and effectively suppress the chattering problem to enhance the robustness of system.

scholarly journals ANALYSIS AND SIMULATION STUDIES FOR THE ESTIMATION OF ROTOR POSITION IN SENSORLESS BLDC

2014 ◽  
pp. 208-212
Author(s):  
NEETHI S. PILLAI ◽  
SALITHA K ◽  
CHIKKU ABRAHAM
Keyword(s):  
Dc Motor ◽  
Position Estimation ◽  
Brushless Dc Motor ◽  
Stable Operation ◽  
Simple Method ◽  
Position Information ◽  
Rotor Position ◽  
Brushless Dc ◽  
Simple Detection ◽  
Rotor Position Estimation

Initial rotor position information is essential for brushless dc motor in order to ensure its stable operation. A simple method for determining the initial rotor position of a sensor less brushless dc motor at standstill is discussed in the paper. The principle behind the rotor position estimation is based on simple detection and comparison of phase voltages and dc link current responses thus relating it with stator inductances. The advantage of this method of estimation of rotor position is that it requires only three voltage pulse injection, and a resolution of 30o is achieved. Moreover no other parameters of the machine are required. The effectiveness of the method is validated by simulation results in Matlab Simulink platform.

Sign in / Sign up

Export Citation Format

Share Document