Adaptive nonlinear induction motor control

The first chapter provides details of an adaptive backstepping control algorithm to control the speed and flux of an induction motor under the conditions of time-varying load torque and rotor resistance uncertainty. This control algorithm is specifically designed to estimate the time-varying load torque and constant unknown rotor resistance. The controller is designed based on measurements of rotor speed and stator current. The designed partial state feedback controller is singularity free and guarantees asymptotic tracking of smooth reference trajectories for the speed of the motor. The rotor flux modulus asymptotically tracks a desired reference trajectory for the motor.;The second chapter contains details of a speed-sensorless adaptive backstepping control algorithm to control the speed and flux of an induction motor under the conditions of time-varying load torque and rotor resistance uncertainty. In contrast to the adaptive controller explained in the first chapter, this controller requires only measurements of stator currents. This control algorithm is also designed to adapt to the time-varying load torque and constant unknown rotor resistance. The control algorithm generates estimates for unknown time-varying load torque, rotor resistance and rotor speed which aymtotically track and converge to their true values. The controller gurantees tracking of smooth reference trajectories for the rotor speed and flux.;The third chapter details an adaptive controller for an induction motor with magnetic saturation effects based on measurements of stator current and rotor speed. This control algorithm is designed to adapt with time-varying load torque. The designed partial state feedback controller is singularity free and guarantees asympotic tracking of smooth reference trajectories for the speed and flux of the motor. The control algorithm generates estimates for load torque and rotor flux that converge to their actual values.