Distributed Model Predictive Control Based on Nash Optimality for Large Scale Irrigation Systems∗. Issue 8 (2015)

• Record Type: Journal Article
• Authors: Zhang, Rongchao; Liu, Andong; Yu, Li; Zhang, Wenan
• Is Part Of: IFAC-PapersOnLine. Volume 48:Issue 8(2015)
• Page Start: 551
• Page End: 555
• Publication Date: 2015
• Subjects: Distributed model predictive control -- Irrigation systems -- Nash optimality -- Large scale systems; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2015.09.025
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: Irrigation system is a large scale system, consisting of many interacting channels, and spanning vast geographical areas. In practice, the water level is expected to the desired reference values for safety and efficiency. In this paper, the model of irrigation system is modeled by the principle on conservation of mass. Because of the strong coupling between neighboring pools in irrigation system and large disturbance from the environment, a non-cooperative distributed model predictive control (NDMPC) algorithm based on Nash optimality is proposed for the large scale irrigation system to design the controller for setting points regulation. Finally, a simulation example is given to demonstrate the effectiveness of the proposed algorithm.