@article{mehta_kabir_pramod_husain_2021, title={Segmented Rotor Mutually Coupled Switched Reluctance Machine for Low Torque Ripple Applications}, volume={57}, ISSN={["1939-9367"]}, DOI={10.1109/TIA.2021.3073384}, abstractNote={Mutually coupled switched reluctance motors (MCSRMs) are alternatives in the family of reluctance machines that can overcome switched reluctance motor's (SRM's) system-level integration and control challenges by utilizing standard three-phase voltage source inverters. In this article, a novel segmented-rotor, fractional-slot, tooth-wound MCSRM with notched rotor design is presented, which has very low torque ripple compared to other machine types in the SRM family. The torque ripple is reduced to 3.6% without utilizing any current profiling techniques or torque sharing functions. The ripple minimization is achieved primarily through rotor segment shaping, which has a strong influence on stator flux densities, flux linkages, and torque harmonics. The design strategy, along with the optimization details, is presented for a 120 W, 12 slot-8 pole MCSRM. The designed MCSRM is prototyped for experimental verification and validation of the finite element analysis results and design methodology.}, number={4}, journal={IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS}, author={Mehta, Siddharth and Kabir, Md Ashfanoor and Pramod, Prerit and Husain, Iqbal}, year={2021}, pages={3582–3594} }
 @article{mehta_pramod_husain_kabir_2021, title={Small-Signal Modeling of Mutually Coupled Switched Reluctance Motor}, volume={57}, ISSN={["1939-9367"]}, DOI={10.1109/TIA.2020.3030873}, abstractNote={A small-signal model based on the net flux method is developed for mutually coupled switched reluctance machines (MCSRMs) to facilitate the design and analysis of the current controller for the drive. The underlying methodology of using net flux allows MCSRM modeling on a per-phase basis which reduces the time involved in characterizing the motor and the number of machine model parameters. A comprehensive theory of modeling the machine and extracting the machine parameters with analytical derivations is provided. Furthermore, a complete design procedure and analysis for a proportional-integrator controller is presented. The derived MCSRM small-signal model is useful to evaluate the controller's current tracking performance, disturbance rejection capability, and response features over a wide speed range. Simulation analysis and experimental results for a 3 phase, 150 W, full-pitched MCSRM drive system are provided both for small-signal model validation and current controller performance evaluation.}, number={1}, journal={IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS}, author={Mehta, Siddharth and Pramod, Prerit and Husain, Iqbal and Kabir, Md Ashfanoor}, year={2021}, month={Jan}, pages={259–271} }
 @article{mehta_kabir_husain_pramod_2020, title={Modeling of Mutually Coupled Switched Reluctance Motors Based on Net Flux Method}, volume={56}, ISSN={["1939-9367"]}, DOI={10.1109/TIA.2020.2968834}, abstractNote={Modeling and accurate estimation of mutual flux in switched reluctance motors are complex due to interphase flux interactions, magnetic saturation, and harmonics. The mutual flux contributes significantly toward torque production of mutually coupled switched reluctance motors (MCSRMs); therefore, their accurate modeling directly influences the control design. In this article, a net-flux-based machine model is proposed to model MCSRMs. The model utilizes dual-phase excitation and multiphase excitation methods to generate the flux lookup tables from the finite-element model of the MCSRM. The modeling process is simple, as it does not require the segregation of the self- and mutual flux components, and machine performance can be predicted accurately using the net flux. The proposed modeling method is validated by implementing it for a fully pitched and concentrated-wound MCSRM and evaluating accuracy against the finite-element method. Details of the developed model are presented along with its comparison with existing methods. A prototype of a fully pitched MCSRM has been built, and the model is validated experimentally. Results show that the proposed model has excellent accuracy even under saturated operating conditions.}, number={3}, journal={IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS}, author={Mehta, Siddharth and Kabir, Md Ashfanoor and Husain, Iqbal and Pramod, Prerit}, year={2020}, pages={2451–2461} }
 @article{mehta_hemamalini_2017, title={A Dual Control Regenerative Braking Strategy for Two-Wheeler Application}, volume={117}, ISSN={["1876-6102"]}, DOI={10.1016/j.egypro.2017.05.135}, abstractNote={To reduce the harmful emissions from automobiles and massive surges in fuel prices, automotive electric vehicles are an effective alternate solution. In this paper, a cascaded bi-directional DC/DC buck-boost converter with dual control strategy during regenerative braking is used for a two-wheeler application. The dual control strategy with the cascaded converter is used to increase the average power stored during the braking period and to reduce the vehicle’s stopping time. The converter with the proposed control strategy used in this work has made it possible to charge the battery even when the back emf of the machine is less than the battery voltage. A fuzzy logic control strategy is used to consider the non-linear factors like SOC, speed of the vehicle and the required brake force. This is done in order to make the system more reliable and realistic. The complete model is simulated in MATLAB/Simulink. By implementing the dual control strategy, the average power stored by the battery is increased by 2.5 times and the vehicle comes to halt faster in comparison with the existing control strategy. The versatility of the strategy is shown by examining three different scenarios during the regenerative braking process. To support the above claims, simulation results are presented to show the effectiveness of the proposed method.}, journal={FIRST INTERNATIONAL CONFERENCE ON POWER ENGINEERING COMPUTING AND CONTROL (PECCON-2017 )}, author={Mehta, Siddharth and Hemamalini, S.}, year={2017}, pages={299–305} }