Hierarchical Irrigation Control Using Predictive Gate Adjustment
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Solution Overview
Problem
Existing supervisory control systems for irrigation channels face limitations in transient flow characteristics, actuator saturation, water level deviations, and unsuitability for open channels with limited freeboards, leading to potential service disruptions and operational violations.
Innovation Solution
A hierarchical control system incorporating Model Predictive Control (MPC) as a supervisory control layer, which anticipates future flow demands and adjusts control gate commands and water level references to improve transient performance, prevent actuator saturation, and ensure quality of service, using grey box models and integrating with SCADA systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If reactive control strategy is employed to maintain water level at set points, then water level stability is improved, but transient performance deteriorates due to transport delays and flow load changes
Solution Approach 1:
The supervisory controller predicts future flow demands and proactively adjusts control gate commands before the actual demand occurs. This preliminary action compensates for transport delays inherent in reactive control, allowing the system to maintain both water level stability and responsive transient performance by anticipating and preparing for future load changes.
2Device complexity
If control action is taken only when water level deviates from set point, then control simplicity is improved, but response time deteriorates due to feedback delays
Solution Approach 1:
Rather than waiting for water level deviation to trigger control action, the supervisory controller uses predicted future flow demands to initiate control adjustments in advance. This eliminates the feedback delay inherent in traditional reactive control while maintaining relatively simple control architecture through the use of predictive algorithms.
3Speed
If upstream gate sends percentage of measured outflows immediately, then responsiveness to downstream demand is improved, but water level deviations increase due to lack of predictive coordination
Solution Approach 1:
The supervisory controller implements a coordinated feedback mechanism that uses predicted future flow demands to adjust control gate commands. This feedback loop maintains responsiveness to downstream demand while preventing water level deviations by proactively coordinating upstream gate adjustments with anticipated downstream requirements, rather than reacting to actual deviations after they occur.
Data Source
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AI summary
The invention provides a method of delivery of fluid to at least one customer (114) through a computer controlled fluid network (100). The fluid network (100) has a plurality of regulators to control the flow of fluid along the fluid network (100) to deliver a predetermined amount of fluid to at least one customer (114). The network (100) includes a first control system (102) for opening and closing the regulators under computer control. The first control system (102) collects data based on timed measurements of fluid levels upstream and downstream of respective regulators and the opening positions of respective regulators, using data analysis to provide respective models for prediction of respective fluid levels between regulators. A second control system (104) that is a supervisory layer interacting with the first control system (102) to provide adjustments to the controlling of the regulators by the first control system (102) based on constraint and future flow load. A third control system interacting with the first (102) and second (104) control systems. The third control system (106) processing fluid delivery requests the at least one customer (114) to provide a flow load delivery schedule (118) based on the hydraulic capacity of the fluid network.