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Contribution to a New Algorithm to Perform an Automatic Self-Calibration of Current Sensors

Beladjine Djamel Eddine, Boudana Djamel, Moualdia Abdelhafidh, Wira Patice

Power Electronics and Drives

2024

Vol. 9 (44)

446--462

Sensors calibration plays a crucial role in controlling systems and achieving fault-tolerant control by ensuring accuracy, performance, safety, energy efficiency, and compliance with standards. It is an essential to maintain the reliability and effectiveness of modern control systems across various applications. In this paper, we represent a new algorithm that processes a set of raw data collected by a sensor to find the mapping function that relates the raw data to the real value of the measured signal by the sensor. Working on sensors with an unknown mapping function, unknown parameters, or with external disturbances, that affects their behaviour, represents a problem; moreover, it takes a lot of time and effort to calibrate the sensor before each use. Several techniques were used to overcome these aspects mostly by recording the output of the sensor for different input values that change manually, to calibrate the sensor. However, the represented technique in this paper can easily provide us with the input/output model of a specific sensor by doing only one experiment; it also improves the accuracy of the measurements as it is a self-calibrating technique that reduces the nonlinearity and noise problems to deliver a better estimation of the measured signal, which is validated in this paper experimentally using a low-cost current sensor by comparing the obtained results from this algorithm with the results using the extracted input/output model illustrated in the datasheet. Furthermore, if the sensor is pretty poor, and if the application requires more precision, the provided estimation by the mapping function can be mixed with other sensor/s readings using sensor fusion algorithms to find a more precise value of the input. The represented algorithm can also perform self-calibration while evaluating the functionality of the application and the variations of the temperature and other external disturbances that affect the sensor.

Genetic algorithm optimization of a SAPF based on the fuzzy- DPC concept

Dahmani Samira, Semmah Abdelhafid, Kadem Mohamed, Wira Patice

Przegląd Elektrotechniczny

2019

R. 95, nr 7

60--65

This article presents a study on the use of the concept of direct power control (DPC) based on intelligent techniques in the control of a shunt active power filter (SAPF). In order to improve harmonic mitigation and reactive power compensation capabilities, the conventional switching table is replaced by a fuzzy inference system to generate the switching sequences of the shunt active power filter. To ensure an active power exchange stable and efficient, the DC voltage of the SAPF in controlled using an integrated proportional controller (PI) optimized by a heuristic optimization technique based on genetic algorithms (GA). The combination of two intelligent techniques in this proposed control strategy makes it possible to reduce ripples in different variables of the SAPF, to maintain the direct voltage at their reference value and to improve the THD of the grid current. The numerical simulation results obtained under Matlab / Simulink confirm the importance of the SAPF's proposed control technique

W artykule opisano wykorzystanie metody DPC (direct power control) do poprawy parametrów bocznikowego filtru aktywnego SAPF. Konwencjonalna tabela przełączeń jest zastąpiona przez system logiki rozmytej. Do optymalizacji filtru wykorzystano też algorytm genetyczny.