Adaptive Tracking Control of a Switched Reluctance Motor Turning an Inertial Load

Using nonlinear models of the motor and load, an adaptive tracking controller is developed for switched reluctance (SR) motors turning an inertial load. The proposed controller uses full state measurements (i.e., motor position, velocity, and the per phase winding currents) to yield a global uniform asymptotic stability (GUAS) [1] result for the motor position tracking error despite parametric uncertainty throughout the entire electro-mechanical system dynamics.