Browsing by Author "Sarma, S."

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    Driving cycle-centric design optimization and experimental validation of high torque density outer rotor 8/18 MTSRM for an E-Bike
    (Elsevier Ltd, 2025) B, S.B.; Sarma, S.; Vamshik, M.; Pitchaimani, J.; Bhaktha, K.V.
    This paper presents an innovative methodology for optimizing the design parameters of a 500 W low-speed outer rotor switched reluctance motor (OR-SRM) for an electric bicycle (E-bike) in accordance with a driving cycle. Design optimization of SRMs based on driving cycles has been minimally explored in the literature, with all existing research focusing exclusively on high-speed electric vehicle (EV) applications. These studies utilized computationally intensive dynamic current analysis methods to account for the significant dynamic effects incurred. Given the E-bike's low-speed characteristics, the present study mitigates the computational load of design optimization through static current analysis. A high torque density 8/18 OR-multi-teeth (MT) SRM topology has been proposed. The benefits of this topology, such as mass, cost, torque ripple reductions, and improved torque density, have been highlighted through a comparison with a conventional 6/10 OR-SRM topology. The reliability of the finite element analysis models used in this study is validated through experiments conducted on an 8/18 OR-MTSRM prototype. The multi-objective design optimization aims to maximize starting torque and minimize torque ripple and electromagnetic losses throughout the driving cycle. The efficacy of the optimization is confirmed by the enhancement in the performance parameters of the optimal design compared to the preliminary design. © 2025 Elsevier Ltd
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    Methodology for Modelling a Custom SRM Configuration Using MATLAB/Simulink
    (Institute of Electrical and Electronics Engineers Inc., 2024) Jose, N.; Jayaraman, A.; Bhaktha, S.; Sarma, S.; Balasubramanian, B.; Gangadharan, K.V.
    Switched Reluctance Motors (SRMs) have gained significant attention in recent years due to their simplicity, robustness, and energy efficiency, making them suitable for various applications such as electric vehicles. However, the development of custom configurations for SRMs presents challenges due to limited options in existing simulation platforms like MATLAB/Simulink. This paper presents a comprehensive methodology for modelling and simulating a custom SRM configuration, specifically a 4-phase, 8/18 Multi-Teeth (MT) SRM, using MATLAB/Simulink. The methodology involves estimating Look-Up Tables (LUTs) using electromagnetic static Finite Element Analysis (FEA), developing mathematical models for phase current and torque, and integrating them into a Simulink model. After that, a closed loop speed control simulation using Hysteresis Current Control (HCC) and Anti-windup PID is applied to the created model. The simulation results demonstrate the effectiveness of the proposed methodology in accurately predicting the motor's performance. Additionally, a comparison with FEA results highlights the model's ability to closely replicate real-world behaviour, despite minor discrepancies attributed to differences in handling mutual phase coupling effects. © 2024 IEEE.