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Digital tracking control of the boost converter: prediction-based digital redesign approach
Author(s) -
Cheng Shion Shieh
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1113/1/012003
Subject(s) - converters , tracking (education) , nonlinear system , control theory (sociology) , digital control , computer science , boost converter , matching (statistics) , state (computer science) , control (management) , control engineering , electronic engineering , engineering , artificial intelligence , mathematics , voltage , algorithm , psychology , pedagogy , statistics , physics , quantum mechanics , electrical engineering
Several continuous-time tracking controllers of the DC-to-DC boost converters had been addressed, but few literature touched the digital tracking control because that was a challenging theoretical problem which consists of nonlinear, non-minimum phase and saturated control. Given a continuous-time nonlinear boost converter with continuous tracking control, this paper proposes a new sampled-data feedback laws from the available analog counterpart via digital redesign such that the state trajectories of the sampled-data closed-loop systems close to the continuous-time one in the sense of state-matching. An existing boost converter circuit has been demonstrated to visualize the feasibility of the proposed methodology.

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