Adaptive feedback linearization for position control of a switched reluctance motor: analysis and simulation

The authors present an adaptive feedback linearizing scheme for position control of a switched reluctance motor (SRM). This nonlinear adaptive control structure compensates for all the nonlinearities between inputs and outputs; allows the use of a linear controller for motion tracking and improves the performance by reducing torque ripple of the SRM. First, a detailed nonlinear model of the SRM is developed, and the parameterization of the model and the electronic commutation strategy are established. The gradient algorithm is used for the adaptation law. The linearizing adaptive control is applied to a single link direct-drive manipulator. Simulation results are given to demonstrate the effectiveness of the control method