Modeling and identification of the Sevier River System

This paper deals with the control-oriented MISO system identification process for the Piute Dam and Sevier River. The Sevier River is an open-channel river with long delays and infrequent data measurements. Based upon adaptations of two models commonly used to estimate river flow, we developed a parameterized mass balance model and compared the validation results of the three models. The parameterized mass balance model performed the best during periods of high flow. Since high flow conditions are most important for water conservation efforts, we chose this model as the basis of a robust controller to be designed and implemented on the Sevier River Basin