Title :
Self-trained commutation algorithm for an SR motor drive system without position sensing
Author :
DiRenzo, Michael T. ; Khan, Wasim
Author_Institution :
DSPS Res. & Dev. Center, Texas Instrum. Inc., Dallas, TX, USA
Abstract :
For a variety of reasons, eliminating the rotor position sensor typically used to operate a switched reluctance (SR) motor is desirable. In this paper, the authors describe a method for the commutation of an SR motor requiring no rotor position sensor and no detailed prior knowledge of the motor´s magnetic characteristics. The method employs a calibration routine to learn the magnetization characteristics of each motor phase at its aligned position, From this information, the flux-current characteristics at some appropriate switching angle can be approximated. Commutation is accomplished by estimating the flux-linked in an active phase and comparing the estimate to the flux approximated for the switching angle. This method is particularly well suited for relatively heavy duty loading, such as a fan. Experimental results are presented which compare the position sensorless technique to a conventional control which uses position feedback
Keywords :
commutation; machine control; machine testing; machine theory; position control; reluctance motor drives; rotors; SRMs; calibration routine; commutation method; flux-current characteristics; heavy duty loading; magnetization characteristics; rotors; sensorless position control; switched reluctance motor; switching angle; Calibration; Commutation; Magnetic flux; Magnetic sensors; Motor drives; Phase estimation; Reluctance motors; Rotors; Sensor phenomena and characterization; Strontium;
Conference_Titel :
Industry Applications Conference, 1997. Thirty-Second IAS Annual Meeting, IAS '97., Conference Record of the 1997 IEEE
Conference_Location :
New Orleans, LA
Print_ISBN :
0-7803-4067-1
DOI :
10.1109/IAS.1997.643047