Adaptive input-output linearization of a switched reluctance motor for torque control

In this paper a nonlinear adaptive feedback linearizing torque control is designed for a fifth order model of a three phase switched reluctance motor (SRM) which includes both electrical and mechanical dynamics. This nonlinear adaptive control structure compensates for all the nonlinearities between inputs and outputs. In addition, it allows the use of a decoupling linear controller for motion tracking for one phase and stabilization for the two other phases. A validated nonlinear model of the SRM is used for system simulation. The control algorithm contains an adaptive scheme based on the parametrized model. A method based on flux observation is used to measure the instantaneous torque. Simulation results are given to demonstrate the effectiveness of the control method