Non-iterative distributed MPC for large-scale irrigation channels

Abstract

This paper develops a non-iterative, distributed model predictive control (MPC) algorithm suitable for managing water-level references for large-scale automated irrigation channels to ensure the satisfaction of water-level and flow constraints. This algorithm is developed by first introducing the concept of spare supply capacity, which allows constraint information to be shared between serially-connected subsystems. Exact and approximate methods for calculating spare supply capacity are presented. A solution of the finite-horizon optimal control problem incorporating the computed spare supply capacity is then obtained for every subsystem. The collection of solutions obtained is shown to be "..