ArticleScientific reports2025
Adaptive regulation of a non inverting buck boost converter with Levenberg Marquardt based sliding mode predictive control scheme.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
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.
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