Contribution to a New Algorithm to Perform an Automatic Self-Calibration of Current Sensors
 
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1
Electrical engineering department, Faculty of Technology, University of Medea, Algeria
 
2
Automatics department, National Polytechnic school
 
3
Université de Haute Alsace IUT - Institut Universitaire de Technologie de Mulhouse IRIMAS - Institut de Recherche en Informatique, Mathématiques, Automatique et Signal
 
 
Corresponding author
Beladjine Djamel Eddine   

Electrical engineering department, Faculty of Technology, University of Medea, Algeria
 
 
Power Electronics and Drives 2024;9 (44)
 
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ABSTRACT
Calibration of sensors plays a crucial role in controlling systems and fault-tolerant control by ensuring accuracy, performance, safety, energy efficiency, and compliance with standards. It is an essential step in maintaining the reliability and effectiveness of modern control systems across various applications and industries. In this paper, we introduce a novel algorithm for processing raw data from sensors to determine the input/output model linking raw data to actual signal values. Traditional methods for sensors with unknown mapping functions or parameters, or impacted by external factors like temperature, often require extensive calibration efforts. In contrast, the proposed technique requires only one experiment to establish the input/output model, enhancing measurement accuracy through self-calibration. Experimental validation using a low-cost current sensor demonstrates improved accuracy compared to manual calibration methods. Additionally, for applications demanding higher precision, sensor fusion algorithms can integrate data from multiple sensors. The algorithm also facilitates real-time self-calibration to accommodate temperature fluctuations and other external disturbances affecting sensor performance.
eISSN:2543-4292
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