Key result
A decentralized model predictive control scheme for parallel synchronous step-down DC-DC converter circuits was simulated to efficiently solve optimal control problems offline.
Proposes a decentralized model predictive control scheme for parallelized DC-DC circuits to manage computational complexity.
Simulation of decentralized MPC for DC-DC converters may ease computation; leaves open hardware validation before any clinical use.
This paper extends previously introduced explicit optimal control methods for fixed frequency switched mode DC-DC converter circuits to the parallel synchronous step-down (i.e., buck) topology withNbranches. Due to the computational complexity of modelling and controlling such potentially large multivariable systems a decentralized model predictive control scheme is employed allowing for the related optimal control problem to be efficiently formulated and solved offline for each local controller. Simulation results are provided to illustrate the outcome of the proposed approach.
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Beccuti et al. (2012) studied Parallelized DC-DC Circuits. Decentralized model predictive control scheme was evaluated. A decentralized model predictive control scheme for parallel synchronous step-down DC-DC converter circuits was simulated to efficiently solve optimal control problems offline.
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