This paper applies a model predictive controller (MPC) to an automatic water canal with sensors and actuators controlled by a network (programmable logic controller), and supervised by a SCADA system (supervisory control and a data acquisition). This canal is composed by a set of distributed sub-systems that control the water level in each canal pool, constrained by discharge gates (control variables) and water...
A flexible framework for modeling different water conveyance networks is presented. The network is modeled using a linear canal pool model based on the Saint-Venant equations to describe transportation phenomenon occurring in open channels. This model is used as a link to connect different nodes defined by gates or reservoirs. The linear pool model has interesting features namely the pool axis monitoring, the i...
This paper presents the first experimental results of a model predictive controller designed to control the water levels of a modern automated water canal, located at the University of Évora, Portugal. The controller is able to correctly handle known-in-advance water offtakes, while considering the most relevant physical constrains of the experimental setup. The dynamic model used is based on discretized Saint-...
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