Title :
Adaptive input-output linearizing control of induction motors
Author :
Marino, Riccardo ; Peresada, Sergei ; Valigi, Paolo
Author_Institution :
Dipartimento di Ingegneria Elettronica, Roma Univ., Italy
fDate :
2/1/1993 12:00:00 AM
Abstract :
A nonlinear adaptive state feedback input-output linearizing control is designed for a fifth-order model of an induction motor which includes both electrical and mechanical dynamics under the assumptions of linear magnetic circuits. The control algorithm contains a nonlinear identification scheme which asymptotically tracks the true values of the load torque and rotor resistance which are assumed to be constant but unknown. Once those parameters are identified, the two control goals of regulating rotor speed and rotor flux amplitude are decoupled, so that power efficiency can be improved without affecting speed regulation. Full state measurements are required
Keywords :
adaptive control; feedback; identification; induction motors; machine control; nonlinear control systems; velocity control; electrical dynamics; fifth-order model; induction motors; linear magnetic circuits; load torque; mechanical dynamics; nonlinear adaptive state feedback input-output linearizing control; nonlinear identification; power efficiency; rotor flux amplitude control; rotor resistance; rotor speed control; velocity control; Adaptive control; Electric resistance; Electrical resistance measurement; Induction motors; Linear feedback control systems; Magnetic circuits; Programmable control; Rotors; State feedback; Torque control;
Journal_Title :
Automatic Control, IEEE Transactions on