DocumentCode :
2915941
Title :
Sensorless speed control of a permanent magnet type axial gap self-bearing motor using sliding mode observer
Author :
Nguyen, Dich Quang ; Ueno, Satoshi
Author_Institution :
Dept. of Mech. Eng., Ritsumeikan Univ., Kusatsu
fYear :
2008
fDate :
17-20 Dec. 2008
Firstpage :
1600
Lastpage :
1605
Abstract :
This paper presents an analytical and experimental evaluation of sensorless speed vector control of an axial gap self bearing motor, in which rotor speed and position are estimated by using Sliding mode observer. The approach is based on the estimation of the motor back-EMF (or induced voltage) through a sliding mode observer with help of measured stator currents and reference voltages. In order to achieve an accurate estimation of the rotor speed and position, an adaptive gain of sliding mode controller is proposed. In addition, during the operation of system, low pass filters are used to smooth the estimated variables. Experiment is implemented based on dSpace1104 with two three phase inverters. Results confirm that axial force and rotating torque can be controlled independently and motor can get the good performance in steady state at the average and high speed range, so further work is being continued to improve the experiment for this proposal.
Keywords :
angular velocity control; invertors; low-pass filters; machine bearings; machine vector control; permanent magnet motors; torque; variable structure systems; axial force; back-EMF; permanent magnet type axial gap self-bearing motor; position estimation; reference voltages; rotating torque; sensorless speed control; sliding mode observer; speed estimation; stator currents; three phase inverters; Current measurement; Machine vector control; Magnetic analysis; Permanent magnet motors; Programmable control; Rotors; Sliding mode control; Stators; Velocity control; Voltage; Combined motor-bearing; PM motor; Self-bearing motor; Sensorless; Sliding mode observer;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Automation, Robotics and Vision, 2008. ICARCV 2008. 10th International Conference on
Conference_Location :
Hanoi
Print_ISBN :
978-1-4244-2286-9
Electronic_ISBN :
978-1-4244-2287-6
Type :
conf
DOI :
10.1109/ICARCV.2008.4795764
Filename :
4795764
Link To Document :
بازگشت