Adaptive partial state feedback control of the induction motor: elimination of rotor flux and rotor velocity measurements

In this paper, we present an adaptive, singularity free, partial-state feedback position tracking controller for the full-order, non-linear dynamic model of an induction motor driving a mechanical subsystem. The controller ensures global asymptotic rotor position tracking despite parametric uncertainty associated with rotor resistance effects and the mechanical subsystem. In contrast to the previous work, the proposed controller requires only rotor position and stator current measurements (i.e. rotor velocity and rotor flux measurements are not required). Experimental results are provided to illustrate the performance of the controller.