Abstract
The mathematical modeling involves convectional controller which affect the performance non-Linear and complex control system of the Bottle water industry. The system instability can be overcome by using intelligent controller to control and Monitor water temperature within a specific period of time in order to avoid overshoot and absolute error, with better temperature tracking capability. However, most industry does not have accurate and reliable monitoring mechanism capable of sensing when the water Temperature increases. The fuzzy Logic is used to control the Temperature of Bottle water at difference time of operation. This operational failure can be overcome by designing a model that will monitor and control the water temperature process thereby improving temperature control in water bottle industry using Fuzzy Logic Controller. MATLAB Software was used to carry out simulations to develop Temperature control in Bottle water industry with aims of improving operational mechanism of the industry. This model can then be trained with result gotten from the mathematical model in order to monitor and control the Water Temperature. The result showed that Bottle water Temperature with and without Fuzzy Logic Controller were 85 0 C and 65 0 C respectively. The Temperature increased by 20 0C . With these results, it shows that using fuzzy Logic Controller gives a better result than when fuzzy logic is not used. Keywords : Fuzzy Logic, Temperature, Control, MATLAB, Monitor. DOI : 10.7176/CEIS/10-2-02 Publication date :March 31 st 2019
Highlights
1.0 introduction Temperature regulation is a very important criterion, needed to process various control systems the bottle water temperature regulation [5]
This paper develops a fuzzy logic temperature controller to control and monitor the bottle water industry in order to stabilize constantly and effectively the water temperature
The instability of mathematical modeling which affect the performance of the Bottle water industry. it is crucial to control and Monitor water temperature within a specific period of time in order to avoid overshoot and absolute error, with better temperature tracking capability
Summary
1.0 introduction Temperature regulation is a very important criterion, needed to process various control systems the bottle water temperature regulation [5]. The main disadvantage of the conventional controller is that it is prone to alteration of system parameters, delays, non-linearity applied to acquire zero overshoot. This paper employs a comparative study based on performance index of conventional controller PID and Artificial Intelligent Controllers (FLC & ANFIS) considering Absolute Error (AES)[10], overshoot, delay and tracking capability [4]. Fuzzy Logic Technique Fuzzy logic is a form of intelligent controller, stemmed from fuzzy set theory to handle reasoning which is rather www.iiste.org estimated than precise It was created for operational control of knowledge based systems and classifies data as true or false. Fuzzy systems have been largely utilized in control systems It performs control actions (output) using a rule base that computes some inputs The defuzzification phase handles the conversion of the fuzzy results from the fuzzy system into discrete values [11], [14], [15]
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