Single Solution Sphere-Decoding Algorithm Model Predictive Control for High-Current Applications

This paper presents a Sphere-Decoding algorithm (SDA) Model Predictive Control (MPC) for a parallel-connected H-Bridges Power Supply (PS). The proposed converter topology faces the very high current peaks (tens of kiloamperes) required by Central Solenoid coils of the Divertor Tokamak Test (DTT) fac...

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Vydáno v:IEEE transactions on industry applications Ročník 61; číslo 1; s. 406 - 415
Hlavní autoři: Terlizzi, Cristina, Bifaretti, Stefano, Lampasi, Alessandro
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 01.01.2025
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Algorithms
Coils
Current measurement
Current sharing
Decoding
Divertor tokamak test facility
Effectiveness
equivalent model
Error reduction
hardware-in-the-loop
High current
high-current power converters
Industrial applications
Legged locomotion
Linear control
Load modeling
Mathematical models
model predictive control
Nuclear fusion
parallel converters
Prediction algorithms
Predictive control
Prototype tests
Solenoids
Tokamak devices
Topology
Tracking errors
Transient response
Vectors
ISSN:0093-9994, 1939-9367
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Popis
Shrnutí:This paper presents a Sphere-Decoding algorithm (SDA) Model Predictive Control (MPC) for a parallel-connected H-Bridges Power Supply (PS). The proposed converter topology faces the very high current peaks (tens of kiloamperes) required by Central Solenoid coils of the Divertor Tokamak Test (DTT) facility for nuclear fusion, quite unusual in industry applications. The choice of the control strategy aims at exploiting the very fast transient response of MPC over linear control schemes and the computational burden reduction of SDA. As a result, this approach is able to guarantee a low load current tracking error and an effective current sharing among H-Bridges, thus proper operations for tens of years. In order to implement the SDA-MPC on a FPGA-based control board, fast but characterized by limited memory, the mathematical model of the PS is first introduced and the SDA-MPC procedure is then mathematically modified to find a single optimized solution. This simplification guarantees a remarkable reduction of the computational burden, avoiding the analysis of a set of possibilities, without losing in control effectiveness. Its performances are verified through simulations and experimentally validated with Hardware-In-the-Loop and prototype tests.
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ISSN:0093-9994
1939-9367
DOI:10.1109/TIA.2024.3471742