Temperature Control System using Artificial Intelligence
DOI:
https://doi.org/10.37591/joci.v3i1-3.2795Abstract
Artificial Intelligence (AI) based controller for temperature control of a water bath system. The generation of membership function is a changeling problem for fuzzy systems and the response of fuzzy systems depends mainly on the membership functions. Artificial Neural Network based input and output used to tune the membership functions in fuzzy system. Two input and single output artificial intelligence is designed to control the temperature system .Further the tuning of controller parameters is difficult in PID because the overshoot and also time constant is large. Fuzzy controller does not require a priori model of process for implementation but the membership values are found by trial and error. A five layer neural network is used to adjust input and output parameters of membership function in a fuzzy logic controller. The hybrid learning algorithm is used for training this network .When compared with other controllers (PID and fuzzy controller), neural network shows a better performance achieved with its tuning. Finally, validity of this approach can be illustrated by practical implementation using LabVIEW.
Keywords: PID Controller, fuzzy controller, neural network controller, temperature control, hybrid learning
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