Title :
Adaptive Backstepping Control of a Speed-Sensorless Induction Motor Under Time-Varying Load Torque and Rotor Resistance Uncertainty
Author :
Ebrahim, Arbin ; Murphy, Gregory
Author_Institution :
Dept. of Electr. Eng., Alabama Univ., Tuscaloosa, AL
Abstract :
A new global adaptive backstepping controller is designed for induction motor speed control based on measurements of stator current and estimation of rotor speed. The designed partial state feedback controller is singularity free and guarantees asymptotic tracking of smooth reference trajectories for the speed of the motor under time varying load torque and rotor resistance uncertainty. The new control algorithm generates estimates for unknown time varying load torque, rotor resistance and rotor speed, which asymptotically tracks and converges to their true values. The rotor flux modulus asymptotically tracks a desired reference signal which allows the motor to operate within its specifications. As in the field-oriented control scheme; the control algorithm generates references for the magnetizing flux component and for the speed component of the stator current. The control strategy yields decoupled rotor speed and rotor flux amplitude tracking control goals which allow the selection of an appropriate flux modulus for the rotor to maximize the efficiency.
Keywords :
adaptive control; control system synthesis; induction motors; machine control; robust control; state feedback; time-varying systems; uncertain systems; velocity control; adaptive backstepping control; asymptotic tracking; controller design; field-oriented control; magnetizing flux component; partial state feedback controller; rotor flux amplitude tracking control; rotor resistance uncertainty; rotor speed estimation; singularity free controller; speed control; speed-sensorless induction motor; stator current measurement; time-varying load torque; Adaptive control; Backstepping; Current measurement; Induction motors; Programmable control; Rotors; Stators; Torque control; Uncertainty; Velocity control;
Conference_Titel :
System Theory, 2007. SSST '07. Thirty-Ninth Southeastern Symposium on
Conference_Location :
Macon, GA
Print_ISBN :
1-4244-1126-2
Electronic_ISBN :
0094-2898
DOI :
10.1109/SSST.2007.352378