We find a control scheme for a squirrel-cage induction motor, where th
e aim is to maximize the power factor and linearize the total electrom
agnetic torque supplied by the motor. Thanks to this maximization of t
he power factor, we represent the nonlinearities of the motor model in
an algebraic equation; and thus we linearize the model by a simple ch
ange of variable. Since this linearization is very sensitive to parame
ter uncertainty, we develop an adaptive control law that compensates s
uch uncertainties in order to guarantee accurate linearization. (C) 19
97 Elsevier Science Ltd.