PILOTE: Linear Quadratic Optimal Controller for Irrigation Canals
Publication: Journal of Irrigation and Drainage Engineering
Volume 124, Issue 4
Abstract
Linear quadratic optimal control theory is applied to the automatic control of two different eight-pool irrigation canals. The model used to design the controller is derived from the Saint-Venant equations discretized through the Preissmann implicit scheme. The linear quadratic closed-loop optimal controller is obtained from steady-state solution of the matrix Riccati equation. A Kalman filter reconstructs the state variables and the unknown perturbations from a reduced number of measured variables. Both perturbation rejection and tracking aspects are incorporated in the controller. Known offtake withdrawals and future targets are anticipated through an open-loop scheme utilizing time varying solutions of the linear quadratic optimization problem. The controller and Kalman filter are tested on a full nonlinear model and prove to be stable, robust, and precise.
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Information & Authors
Information
Published In
Journal of Irrigation and Drainage Engineering
Volume 124 • Issue 4 • July 1998
Pages: 187 - 194
Copyright
Copyright © 1998 American Society of Civil Engineers.
History
Published online: Jul 1, 1998
Published in print: Jul 1998
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