Decentralized Water-Level Balancing for Irrigation Channels in Storage Critical Operations

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Abstract
A feedback control system is proposed for balancing the deviations of water levels from set points along open channels subject to uncertain supply–demand mismatch that exceeds individual pool capacity. Decentralized controllers adjust the gate flows between pools to regulate potentially weighted differences between neighboring water-level errors to zero in a steady state. A sequential SISO loop-shaping procedure is developed for the design of each local flow controller based on distributed parameter transfer function models of the channel dynamics. Recursive feasibility of the procedure for relevant performance specifications and stability of the resulting MIMO closed loop are verified by supporting analysis. Both numerical simulations and field trial results are presented.
Funding Information
  • Australian Research Council (LP200200917)
  • Rubicon Water, VIC, Australia

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