Nonlinear tracking control of small electrical machines

This report presents a methodology to design simple and effective high-performance tracking controllers for small AC electrical machines. By taking advantages of the two-time-scale property of small electrical machines, a second-order nonlinear dynamical model is derived from a singular perturbation formulation of the full-order model of a small electrical machine. A globally stable, maximum-torque adaptive controller is developed based on this reduced-order model. Simulation results show that this controller is comparable to controllers based on the full model. In addition, this controller is computationally very simple and requires fewer sensory measurements for feedback purposes