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Control of an Irrigation Branch Canal using Model Predictive Controller


Affiliations
1 Saveetha Engineering College, Anna University, Chennai 602 105, India
2 Centre for Water Resources, Anna University, Chennai 600 025, India
3 Smarta Opti Solutions, Chennai 600 073, India
4 Public Works Department, Coimbatore 641 001, India
 

Sustainable use of the available water resource is an important challenge for food security. An irrigation canal system consists of a number of pools connected to each other by control structures. Unsteady flow Saint-Venant equations are used to model the flow in the canal system and these equations are solved using implicit finite difference methods. The canal system is represented as linear time invariant system and the resulting equations are the dynamic equations in state space form. These linearized equations are modelled in Matlab® environment. The control strategy adopted in this research is the downstream control method of operation and the control structures adopted are radial gates and modified radial gates. The unsteady flow model is applied to the chosen study area and the results obtained from the model are used to simulate the dynamics of the canal system using model predictive controller toolbox. The results show that any closed loop controller will work efficiently with the hydraulic model developed.

Keywords

Finite Difference, Irrigation Channels, Linear Time Invariant, Model Predictive Controller, Unsteady Flow.
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  • Control of an Irrigation Branch Canal using Model Predictive Controller

Abstract Views: 161  |  PDF Views: 75

Authors

Jailakshmi Menon
Saveetha Engineering College, Anna University, Chennai 602 105, India
B. V. Mudgal
Centre for Water Resources, Anna University, Chennai 600 025, India
M. Guruprasath
Smarta Opti Solutions, Chennai 600 073, India
S. Sivalingam
Public Works Department, Coimbatore 641 001, India

Abstract


Sustainable use of the available water resource is an important challenge for food security. An irrigation canal system consists of a number of pools connected to each other by control structures. Unsteady flow Saint-Venant equations are used to model the flow in the canal system and these equations are solved using implicit finite difference methods. The canal system is represented as linear time invariant system and the resulting equations are the dynamic equations in state space form. These linearized equations are modelled in Matlab® environment. The control strategy adopted in this research is the downstream control method of operation and the control structures adopted are radial gates and modified radial gates. The unsteady flow model is applied to the chosen study area and the results obtained from the model are used to simulate the dynamics of the canal system using model predictive controller toolbox. The results show that any closed loop controller will work efficiently with the hydraulic model developed.

Keywords


Finite Difference, Irrigation Channels, Linear Time Invariant, Model Predictive Controller, Unsteady Flow.

References





DOI: https://doi.org/10.18520/cs%2Fv118%2Fi8%2F1255-1264