DocumentCode
2039140
Title
A torque control strategy of brushless direct current motor with current observer
Author
Long Zhao ; Xiaobin Zhang ; Junhong Ji
Author_Institution
State Key Lab. of Robot. & Syst., Harbin Inst. of Technol., Harbin, China
fYear
2015
fDate
2-5 Aug. 2015
Firstpage
303
Lastpage
307
Abstract
This paper presents a torque control strategy of brushless DC (BLDC) motor based on current observer and state feedback control algorithm. Based on establishment and in depth analysis of the BLDC mathematical model, BLDC motor torque control is transformed into BLDC motor current control. Then a full dimensional current state observer is designed to estimate armature current of BLDC motor. After observing armature current with current state observer, it is fed back to the feedback state controller and the current reference input port to generate current control signal and current error signal, respectively. The control signal and error signal can be used to control the torque of BLDC motor. After completing the torque control algorithm of BLDC motor, a simulation model is developed using Matlab/Simulink. The capability and performance of the torque control algorithm of BLDC motor is verified.
Keywords
brushless DC motors; electric current control; machine control; observers; state feedback; torque control; BLDC motor; Matlab-Simulink; armature current estimation; brushless direct current motor; current control; current control signal; current error signal; current reference input port; full dimensional current state observer; mathematical model; simulation model; state feedback control algorithm; torque control algorithm; torque control strategy; Brushless DC motors; Mathematical model; Observers; Torque; Torque control; BLDC motor; Torque control; observer;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechatronics and Automation (ICMA), 2015 IEEE International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4799-7097-1
Type
conf
DOI
10.1109/ICMA.2015.7237501
Filename
7237501
Link To Document