Fuzzy Logic Application: Temperature Control

blear-eyed Logic Application: Temperature Control Harneet Kour Khajuria1, Saurabh Mahajan2, Akhil Vaid3 M.Tech. Student ECE1,3, ancillary Professor2 Sri Sai College of plan and Technology, Badhani, Pathankot, Pb. (India) Harneet.destiny@gmail.com1, saurabh_raja1@yahoo.co.in2, akhilvaid20@gmail.com3 ABSTRACT This penning aims to present the realization of temperature nurse of devices using fogged logical systemal dodging ascendancy (FLC). A mixed-up logic fudgeler was used to perform the temperature control. The idea tramp the use of the bleary logic was from the fact that temperature is not explicitly defined and blear-eyed logic treats the true value of lingual variable as a number between 0 and 1, rather than be just true or faithlessly. The purpose was therefore to explore the functional behaviour of several(prenominal) domestic appliances in order to regulate the temperature control by switching to devices by and through a blear-eyed logic controller (FLC). The fuzzy illation mechanism adopted was fuzzy establish logic since it sewer output to some numeral function of the fuzzy input(s). The online temperature sensed by the temperature sensor and the elongate value of this temperature was converted to its digital equivalent form employing parallel of latitude to Digital converter (ADC).

The digitized value was compared with the reference temperature (set by the user) based on which the devices were switched (ON/OFF) as per the fuzzy sets defined in the brumous logic controller (FLC). Fuzzy logic has been employed to control temperature of numerous applicat ions by switching the cooling and heating de! vices through Fuzzy logic controller (FLC). KEYWORDS: Fuzzy Logic Controller, Fuzzy Logic, Temperature Control, MATLAB 1. INTRODUCTION The aim of this paper was to design a system that could control the temperature of devices on the fundament of fuzzy logic rules defined in a fuzzy logic controller intentional for fuzzy sugeno inference (whenever the temperature exceeds the in demand(p) set limit). Fuzzy logic treats...If you want to get a full essay, order it on our website: BestEssayCheap.com

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