Title :
Self-tuning control of a switched-reluctance motor drive with shaft position sensor
Author :
Tandon, Piyush ; Rajarathnam, Anandan Velayutham ; Ehsani, Mehrdad
Author_Institution :
Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
Abstract :
The control of the switched-reluctance motor (SRM) is usually based on the inductance profiles as a function of position. This paper addresses the problem of obtaining optimal performance from an SRM in the presence of parameter variation, which can alter the phase inductance profiles. The operation of an SRM drive in the controlled current mode from zero to base speed is considered. New self-tuning algorithms are presented which optimize the steady-state performance of the drive as measured by torque per ampere (TPA). Computer simulations are employed to show the existence and uniqueness of a solution to the optimal TPA problem. The application of the new control strategy is explained in the content of a speed controlled drive system. Experimental results are provided to demonstrate the validity of the self-tuning controller
Keywords :
angular velocity control; electric current control; inductance; machine control; position measurement; reluctance motor drives; self-adjusting systems; base speed; computer simulations; control strategy; controlled current mode; inductance profiles; optimal performance; parameter variation; phase inductance profiles; self-tuning algorithms; self-tuning control; self-tuning controller; shaft position sensor; speed controlled drive system; steady-state performance; switched-reluctance motor drive; torque per ampere; Application software; Computer simulation; Control systems; Inductance; Induction motors; Motor drives; Reluctance motors; Shafts; Steady-state; Torque measurement;
Journal_Title :
Industry Applications, IEEE Transactions on