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<p>In this paper an adaptive sliding-mode model predictive control (ASMPC) scheme is proposed for precise regulation of a low-voltage, non-inverting buck–boost converter’s output voltage. By embedding a sliding-mode term within a constrained MPC framework and enforcing explicit stability criteria, the controller accelerates convergence and enhances closed-loop robustness. A linear state-space model is updated online via a gradient-based Levenberg–Marquardt algorithm to compensate for converter nonlinearities and reduce reliance on an offline model. Simulation results in a photovoltaic system and experimental tests on a DC/DC converter confirm that ASMPC maintains tight voltage tracking under varied reference voltages, load changes, and input-voltage fluctuations. Compared with baseline adaptive MPC and conventional PI control, ASMPC achieves faster settling, smaller voltage ripples, and energy-efficiency improvements of approximately 3%–6% across all scenarios.</p>

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Adaptive regulation of a non inverting buck boost converter with Levenberg Marquardt based sliding mode predictive control scheme

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年8月6日

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  • Omid Asvadi-Kermani,
  • Hoda Sorouri,
  • Arman Oshnoei

摘要

In this paper an adaptive sliding-mode model predictive control (ASMPC) scheme is proposed for precise regulation of a low-voltage, non-inverting buck–boost converter’s output voltage. By embedding a sliding-mode term within a constrained MPC framework and enforcing explicit stability criteria, the controller accelerates convergence and enhances closed-loop robustness. A linear state-space model is updated online via a gradient-based Levenberg–Marquardt algorithm to compensate for converter nonlinearities and reduce reliance on an offline model. Simulation results in a photovoltaic system and experimental tests on a DC/DC converter confirm that ASMPC maintains tight voltage tracking under varied reference voltages, load changes, and input-voltage fluctuations. Compared with baseline adaptive MPC and conventional PI control, ASMPC achieves faster settling, smaller voltage ripples, and energy-efficiency improvements of approximately 3%–6% across all scenarios.