عنوان مقاله [English]
Importance of water delivery and distribution leads to use more accurate systems for water monitoring and controlling. The proportional–integral–derivative (PID) control system is one of the most prevalent control systems that its successful design and implementation depend on control coefficients tuning rules. In this study, Genetic Algorithm has been used to optimize the coefficients of the PID control to control water level; so its model has developed and linked with ICSS Hydrodynamic model. The optimization process was applied on the pivot gate in ASCE test case 2. The objective function of the GA consists of three performance indexes of MAE, IAE and dimensionless form of SRT. The results of optimized coefficients were compared with the trial and error coefficients in study which was alike in canal, structure and operation scenario. The results show that all of the indexes have been improved generally and Genetic Algorithm functioned properly in PID tuning.