Experimental and Theoretical Study of the Production of Pipes Drippers for Irrigation Systems Using ANFIS Technique

Authors

  • Hosham S. Anead, Khalid F. Sultan

Abstract

       This article aims to improve the production and performance of pipeline driers using conventional method such as proportional integral (PI), an adaptive Nero – Fuzzy inference system (ANFIS). As well as to manufacture and produce drippers in irrigation pipes used in agricultural lands. These drippers have standard specifications and are cylindrical. The control system is designed to control the type of drippers and measure the distance between drippers. It also determines the rate of discharge, pressure, temperature, and humidity through existing sensors in the control system. Using these drippers increases the efficiency and enhancement performance of the drip irrigation system through many factors such as type, distance, pressure, temperature, and humidity. This study includes the comparison between these methods through settling time, peak time, over shoot, peak, and peak time. As well as other parameters such as flow rate, number of pipes drippers, pressure and temperature. The study showed that the productivity of drippers through the use of control system increases the number of drippers and improves the quality of drippers within the pipes of the drip irrigation system. On the one hand, this study showed that controlling the rate of discharge leads to saving the water prepared for irrigation. The results indicated good agreement between theoretical result and experiment control system.

Published

2020-11-01

Issue

Section

Articles