Assessment and Comparison oF Fuzzy Automatic Control System using Two Rule Base Applied oN Pivot Weirs

Using effective methods to provide optimal performance of irrigation networks is inevitable becauseof limited water resources and poor performance of irrigation networks. Different algorithms are usedfor automatic control of water level in irrigation canals with their own limitations. Fuzzy logic iscapable of resolving some of these limitations. Although fuzzy logic is successfully used in manyengineering applications, it has not been used for water level control in irrigation canals. In this studyfuzzy algorithm with two rule base is used for automatic water level control on pivot weir. Automaticcontrol system was constructed on laboratory scale, and its performance for the situation of high flowvariation was evaluated. One of the main components of the fuzzy controller is rule-base decisionmaking. In the experiments conducted in this study two types of rule-base decision making are appliedand the results are compared. The results show that in high flow variations (400%), maximum absoluteerror (MAE) and cumulative absolute error (IAE) indices values are in the range of 6.9 to 9.2 and 0.79to 1.17percentages respectively and variations are stabilized within less than 2 minutes. Using thesecond type of rule-base, system, stability is improved and water level variations and number ofstructure adjustment is decreased. The fuzzy automatic control system is suitable in controlling waterlevels and its application for irrigation canal control is recommended.