Tuning controller for induction motor using model reference adaptive control

Abstract EN

This paper is an attempt to design an adaptive controller using model reference adaptive control algorithm involving Indirect Field Oriented Control of an A.C.

Induction Machine as a nonlinear plant, without the need for modeling (knowing the plant equations) except the plant order.

The objective is to study the controller parameters effect to reflect the performance specification in the control tasks, such as rise time, settling time and overshoot in order to design a controller with an adjustment mechanism so us the closed loop system remains stable.

The second plant used is a D.C.

Motor as a linear plant to verify the capability of the suggested method for a linear plant.

The model is chosen with respect to the order of the plant.

The suggested method is to find the initial values of the controller parameters by using a designed table which gives a good response compared with the conventional method (tuned PI controller) ; in addition the designed controller has an enhancement on the response with the time regarded to the adaptation mechanism.