Converter matlab fuzzy inference to arduino Csystem

Abstract

This study aims to utilize the FIS matlab converter (fuzzy inference system) into the C arduino programming language with the aim of simplifying the fuzzy logic model that can be applied immediately with control hardware such as Arduino. In this study, an example of fuzzy logic is used with two sensor inputs, namely temperature and smoke sensors as inputs and two outputs in the form of buzzers and pump motors. The method used is sugeno in matlab. Then the formation of input variables modeled mapping scale is formed 0 - 100 and scale output 0 - 2. Converter. Fis fuzzy inference system can be applied to the design of fuzzy logic systems with the results of the .ino format conversion program template that can be set output results as arduino triger directly . This setting is enough to do with the reading of the g-fisOutput [] variable with IF-ELSE.