Torque ripple minimization of switched reluctance motor using model predictive controller technique

In recent years many control characteristics were implemented to improve the performance of machines in the field of power electronics. Some of the controllers give very good performance to achieve the premeditated value; out of these controllers the model predictive controller (MPC) gives good results in power electronics drive control. This paper presents application of model predictive controller for switched reluctance motor is done and performance characteristics are compared with the PID controller. The advantage of MPC is that it allows the easy inclusion of system constraints, thus different control objectives can be flexibly taken in account in different applications. Another remarkable merit of MPC is the inclusion of nonlinearities, such as harmonic spectrum control and switching frequency reduction. A key important factor for applying the controller in switched reluctance motor is to regulate the torque and avoid torque ripple, which considered as a very major drawback in SRM.