In this paper, several types of torque distribution functions (TDFs) are presented for the instantaneous torque control of switched reluctance motor (SRM) drives. To verify the feasibility and effectiveness of the proposed TDFs, two different categories—parameter non-adaptive and parameter adaptive functions—are introduced and analyzed. These different types of TDFs are systematically implemented in instantaneous torque control schemes to enhance the performance of SRM drives. The proposed torque control method, incorporating these various TDFs, is modeled and simulated in PSIM software to validate the presented control schemes. Simulation results demonstrate the effectiveness of the proposed approach in achieving precise torque control and improving the dynamic performance of SRM drives.

This paper presents the torque ripple reduction control to apply an SRM to the X-by-wire drive systems which replaces the mechanical control method with “by-wire” to secure the flexibility of design and modification. However, torque ripples generated from the SRM can affect the performance and stability of the system. The proposed torque ripple control schemes are compared with the previously studied methods by dynamic simulation in regards to torque distribution functions and instant torque controller.

This paper proposes predictive deadbeat current control, one of the model predictive controls. The predictive deadbeat control is compared to the conventional current control methods to validate its feasibility in X-by-Wire systems.

In this paper, 1kW prototype PCS for tidal power generation system, which is attracting attention as the next-generation renewable energy, is studied. Tidal power generation is a method of producing energy using the difference between the tides. The advantage of tidal generators is that, unlike other renewable energies such as wave power, wind power, and solar power, they are relatively less affected by the weather changes and are regularly produced at regular intervals.