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<p>Switched reluctance motors (SRMs) are increasingly favored in electric drive applications due to their simple construction, high fault tolerance, and robustness. This study introduces a novel hybrid drive system that integrates PV and battery sources to power an SRM, controlled by a model predictive control (MPC) strategy and a modified q-Z source bidirectional three-port converter (MBTPC). The proposed architecture facilitates efficient power sharing between energy sources under varying load and irradiance conditions while ensuring precise SRM speed control. The MPC algorithm is implemented to minimize torque ripple and reduce settling time during steady-state and dynamic speed transitions. The MBTPC supports three distinct modes of operation, including PV-dominant driving, combined PV-battery support, and battery-only drive during zero irradiance, contributing to reliable and continuous motor operation. The system’s performance is assessed under five test cases comprising different combinations of speed and load torque, including a dynamic reference change. Simulation results conducted in MATLAB/Simulink highlight improved energy utilization, DC-link voltage stability, and superior control response compared to conventional PI-based systems. Real-time validation using the OPAL-RT 4510 hardware confirms the robustness of the proposed scheme, demonstrating seamless mode transitions and consistent motor performance across all operating scenarios. These findings establish the proposed solution as an effective control strategy for sustainable electric drive applications in renewable-integrated platforms.</p>

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MPC-Controlled PV-Battery-Fed SRM Drive with Modified Bidirectional Three-Port Converter for Improved Dynamic Performance

  • 期刊论文

  • 发表日期：

    2025年12月22日

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  • Srijani Mukhopadhyay,
  • Sreejith Sekaran,
  • Swapna Mansani

摘要

Switched reluctance motors (SRMs) are increasingly favored in electric drive applications due to their simple construction, high fault tolerance, and robustness. This study introduces a novel hybrid drive system that integrates PV and battery sources to power an SRM, controlled by a model predictive control (MPC) strategy and a modified q-Z source bidirectional three-port converter (MBTPC). The proposed architecture facilitates efficient power sharing between energy sources under varying load and irradiance conditions while ensuring precise SRM speed control. The MPC algorithm is implemented to minimize torque ripple and reduce settling time during steady-state and dynamic speed transitions. The MBTPC supports three distinct modes of operation, including PV-dominant driving, combined PV-battery support, and battery-only drive during zero irradiance, contributing to reliable and continuous motor operation. The system’s performance is assessed under five test cases comprising different combinations of speed and load torque, including a dynamic reference change. Simulation results conducted in MATLAB/Simulink highlight improved energy utilization, DC-link voltage stability, and superior control response compared to conventional PI-based systems. Real-time validation using the OPAL-RT 4510 hardware confirms the robustness of the proposed scheme, demonstrating seamless mode transitions and consistent motor performance across all operating scenarios. These findings establish the proposed solution as an effective control strategy for sustainable electric drive applications in renewable-integrated platforms.