Data-driven LPV model predictive control of a cold atmospheric plasma jet for biomaterials processing

نویسندگان

چکیده

Cold atmospheric plasmas (CAPs) are increasingly used for treatment of complex surfaces in biomedical and biomaterials processing applications. However, the multivariable, distributed-parameter, nonlinear nature CAP dynamics plasma–surface interactions, coupled with sensitivity to exogenous disturbances, make their safe, reproducible effective operation challenging. This paper adopts a data-driven linear parameter-varying (LPV) modeling framework learn control-oriented model predictive control kHz-excited pressure plasma jet Helium. A hierarchical model-based strategy is proposed based on supervisory LPV-based controller (LPV–MPC) regulate thermal effects surface. Real-time experiments demonstrate effectiveness LPV–MPC multivariable surface temperature optical intensity, as well controlling spatial delivery cumulative

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ژورنال

عنوان ژورنال: Control Engineering Practice

سال: 2021

ISSN: ['1873-6939', '0967-0661']

DOI: https://doi.org/10.1016/j.conengprac.2021.104725