Utilization of Neural Networks for Error Reduction of Elastomagnetic Sensors
Jozef Vojtko*, Irena Kovácová**, Ladislav Madarász***, and Dobroslav Kovác*
*Dept. of Theoretical Electrotechnics and Electrical Measurement, Technical University of Košice, Park Komenského 3, FEI TU, 042 00 Košice, Slovak Republic
**Dept. of Electrical Drives and Mechatronics, Technical University of Košice, Letná 9, FEI TU, 042 00 Košice, Slovak Republic
***Dept. of Cybernetics and Artificial Intelligence, Technical University of Košice, Letná 9, FEI TU, 042 00 Košice, Slovak Republic
This paper deals with an elastomagnetic sensor of a pressure output metrological parameter improving to achieve linear sensor output. The designed solution is based on using neural networks as a universal approximator that enables conversion from sensor output to measured force and suppresses error.
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