@article { author = {Monem, M.J. and kiapasha, M.S.}, title = {Development of Downstream Fuzzy Control System for Irrigation Canals}, journal = {Journal of Hydraulics}, volume = {3}, number = {4}, pages = {13-26}, year = {2009}, publisher = {Iranian Hydraulic Association}, issn = {2345-4237}, eissn = {2645-8063}, doi = {10.30482/jhyd.2009.85479}, abstract = {Limited water resources and poor performance of irrigation networks has attracted the attention ofexperts to improve water delivery management by application of improved control systems. Improvedcontrol systems in irrigation canals, because of complex hydraulic behavior, should be developed andtested using mathematical and hydrodynamic models. Fuzzy theory has been widely and successfullyapplied in several engineering control problems. In this research fuzzy theory has been applied forcontrol of irrigation canals. For the development of fuzzy control system, the ICSS hydrodynamicmodel which could simulate unsteady hydraulic behavior in response of control systems in irrigationcanals is used. The performance of developed mathematical model of fuzzy control system is tested incanal standard no. 2 introduced by ASCE, considering large flow variations. The performance of fuzzycontrol system is evaluated using several indicators such as, maximum absolute error, cumulativeabsolute error, and response time. The figures of flow, depth, and gate opening variations in time areanalyzed as well. The results show that by applying large flow variations, the maximum depthdeviation was 1.9%. The maximum response time for water depth to be stabilized within 1% range oftarget depth was 1.8 minutes. The results indicate that the developed fuzzy control system wassuccessful in downstream control of irrigation canal and could be introduced for practical applications.}, keywords = {}, title_fa = {توسعه مدل ریاضی سیستم کنترل فازی پایین دست در کانال های آبیاری}, abstract_fa = {}, keywords_fa = {}, url = {https://jhyd.iha.ir/article_85479.html}, eprint = {https://jhyd.iha.ir/article_85479_1742ac86332af49dc6a19d96ff7b4d6a.pdf} }