Abstract
The aim of the present work is to describe the performance of a fuzzy agent that is implemented in an embedded system to make an on-line tuning of a embedded PID controller. The fuzzy agent inputs are steady-state error, overshooting and settling time, with this input the fuzzy agent is able to automatically adjust the PID parameter in order to have a better performance. The Peltier cells are used to control the temperature of a small chamber.
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Alonso-Carreón, A.A., Platas, M., Torres-Treviño, L. (2015). An Embedded Fuzzy Self-tuning PID Controller for a Temperature Control System of Peltier Cells. In: Sidorov, G., Galicia-Haro, S. (eds) Advances in Artificial Intelligence and Soft Computing. MICAI 2015. Lecture Notes in Computer Science(), vol 9413. Springer, Cham. https://doi.org/10.1007/978-3-319-27060-9_36
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DOI: https://doi.org/10.1007/978-3-319-27060-9_36
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