This paper proposes a computationally efficient Finite Control Set-Model Predictive Torque Control (FCS-MPTC) algorithm to reduce the torque ripple in switched reluctance motor (SRM) drives. The computational burden is minimized in two ways, one by using a single look-up table based technique for estimating the torque and the other by reducing the switching vectors to be evaluated at any instant to a maximum of three. The single LUT-based torque estimation is done using k(θ, i) profile that gives a non-linear modulating factor to be multiplied with the linear torque. Furthermore, a controlled demagnetization of the outgoing phase is realized during the magnetization of the incoming SRM phase for the entire overlapping region thereby reducing the torque ripple. The proposed model is verified through MATLAB/Simulink on a four-phase 8/6 SRM. Using the proposed method, a torque ripple of ≈ 6% has been achieved.

This paper presents the four quadrants operation for switched reluctance motor (SRM) drives based on the modulating torque sharing function (TSF). SRM is a nonlinear motor and has torque ripple issues whenever the two phases overlap. The conventional TSF’s have predefined function, which are limited to machine specific and have high torque ripple. In this paper, a modulated TSF is proposed, which modulating the torque profile based on the nonlinear inductance and machine currents. In this paper, the torque sharing function is defined in all the quadrant and modulating based on the outgoing current during overlap period. Different results are obtained and analysed in all the quadrants to see the performance of the SRM.The proposed algorithm is verified using Matlab Simulink, and the results are reported.

Existing rotor position estimation schemes strongly depend on prior fed data of inductance models which are subject to phenomenal electromagnetic disturbances, mutual inductance interference which inturn requires high gain bandwidth control logic. With these existing methods, an angle error still lies and gets carried along with when the motor is in rotating conditions. This paper discusses about exact rotor position extraction at standstill for reliable starting procedure without any position sensor. Proposed sensorless method tends to inject high frequency signals for short duration in an 8/6 SRM, thereby peak values of currents of all phases is captured for only 0° to 15° and recorded data is curve fitted to train the machine to detect its rotor position to any arbitrary mechanical degree. Authenticity and feasibility of the proposed algorithm is verified on an 8/6 4-phase SRM through MATLAB/Simulink as a testing platform.

This paper presents a novel converter topology having less switches per phase and a common fast discharging circuit suitable for Switched Reluctance Motor (SRM) drives. The topology makes use of fly back circuit principle for fast discharge of winding current back to the source. The proposed topology can be modularized for any n-phase SRM drive keeping the same discharging circuit. The converter is analyzed and is implemented on a 4 phase 8/6 SRM drive using PSPICE and MATLAB/Simulink and the results are reported.

This paper presents a novel method to fully utilize the positive slope region of SRM phase inductance profile and generate a maximum positive torque while simultaneously reducing the torque ripple effectively. The proposed method is based on explicit mathematical model with comparatively lesser computational overhead. Using the proposed modus operandi, torque ripple could be reduced to ≤3%. The proposed algorithm is implemented on a 6/4 3-Phase SRM using Matlab/Simulink and the results are reported.