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Titel:

Intelligent Closed-Loop Fluxgate Current Sensor Using Digital Proportional–Integral–Derivative Control with Single-Neuron Pre-Optimization.

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Song, Q.; Liu, J.; Heldwein, M.L.; Klaß, S.
Abstract:
This paper presents a microcontroller-controlled closed-loop fluxgate current sensor utilizing digital proportional–integral–derivative (PID) control with a single-neuron-based self-pre-optimization algorithm. The digital PID controller within the microcontroller (MCU) regulates the drive circuit to generate a feedback current in the feedback winding based on the zero-flux principle in a closed-loop system. This feedback current is proportional to the measured external current, thereby achieving...     »
Stichworte:
closed loop; digital proportional–integral–derivative; fluxgate current sensor; microcontroller; positional PID algorithm; single-neuron-based self-pre-optimization algorithm; zero-flux principle
Zeitschriftentitel:
signals
Jahr:
2025
Jahr / Monat:
2025-03
Quartal:
1. Quartal
Monat:
Mar
Heft / Issue:
Signals 6, no.2: 14
Reviewed:
ja
Sprache:
en
Volltext / DOI:
doi:https://doi.org/10.3390/signals6020014
WWW:
https://www.mdpi.com/2624-6120/6/2/14
Verlag / Institution:
MDPI
Publikationsdatum:
24.03.2025
Copyright Informationen:
Data Availability Statement Restrictions apply to the availability of these data. Data were obtained from ChenYang Technologies GmbH & Co. KG and are available from J.L. with the permission of ChenYang Technologies GmbH & Co. KG. Conflicts of Interest Author Qiankun Song is employed by ChenYang Technologies GmbH & Co. KG and also a PhD student at the Technical University of Munich. Author Jigou Liu is the managing director of Chen Yang Technologies GmbH & Co.KG. The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Semester:
WS 24-25
TUM Einrichtung:
Lehrstuhl für Hochleistungs-Umrichtersysteme
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