Understanding Sedimentation Trajectories and Social Relations with Agent-based Modeling of Sudan’s Gezira Scheme

Design of PI controllers for irrigation canals based on linear matrix inequalities

A new Proportional-Integral (PI) tuning method based on Linear Matrix Inequalities (LMIs) is presented. In particular, an LMI-based optimal control problem is solved to obtain a sparse feedback that provides the PI tuning. The ASCE Test Canal 1 is used as a case study. Using a linearised model of the canal, different tunings for the design of...

Model Predictive Control of Open Water Systems with Mobile Operators

In this master thesis, the recently introduced Mobile Model Predictive Control (MoMPC) approach for open water systems with uncertain dynamics is discussed, where there are no sensors or actuators installed in the system that would allow for a fully automatic operation. MoMPC is a configuration of Model Predictive Control (MPC) that explicitly...

Predictive control of irrigation canals – robust design and real-time implementation

Predictive control is one of the most commonly used control methods in a variety of application areas, including hydraulic processes such as water distribution canals for irrigation. This article presents the design and application of predictive control for the water discharge entering into an irrigation canal located in Spain. First, a...

A non-iterative cascaded predictive control approach for control of irrigation canals

Irrigation canals transport water from water sources (such as large rivers and lakes) to water users (such as farmers). Irrigation canals are typically very large in nature, covering vast geographical areas, and involving a significant number of control actuators, such as pumps, gates, and locks. The control of such canals is aimed at...

Coordinated model predictive reach control for irrigation canals

Irrigation canals are large-scale systems, covering vast geographical areas, and consisting of many interconnected canal reaches that interact with control structures such as pumps and gates. The control of such irrigation canals is usually done in a manual way, in which a human operator travels along the irrigation canal to adjust the settings...

A distributed model predictive control approach for the control of irrigation canals

Water networks are large-scale systems, consisting of many interacting components. They are currently typically operated by local decentralized controllers which receive setpoints from human operators. We discuss how communication among the local controllers can be included and in particular propose the use of distributed model predictive...