DefinePK

Abstract

In this research, an extensive insights design steps of Fuzzy Inference System are presented for greenhouse climate control. The temperature and relative humidity for a greenhouse are considered of a highly importance for successful and healthy yield production, also precise controlling schemes results in lowering the crop's diseases and hence provide better quality and enhance the productivity. Consequently, temperature and humidity inside greenhouses are mutual effect parameters; therefore, choosing of a fuzzy inference system to solve the nonlinear control problem of temperature and humidity in a accurate and reliable manner as well as provide less energy consumption for assistance devices is presented. The refining devices are represented by heating, cooling and misting devices. The detailed steps of greenhouse FLC designs are calculated and implemented using MATLAB programming language. The new library of RSS defuzzification method is added successfully and tested with the design and prove acceptable results based on the design constraints; this implementation of RSS method can be used and embedded within MATLAB package as RSS defuzzification method. Based on the design steps, the calculated outputs fully satisfy the system conditions and pave the way to implement this design within the SIMULINK simulator for climate control of greenhouse based Fuzzy inference engine.