Distributed MPC control of a Water Delivery Canal based on D-ADMM

• Type: Article in International Conference Proceedings Book
• Date: 2020

Authors

João P. Belfo (Author) Other; João M. Lemos (Author) Other; António Pedro Aguiar (Author) FEUP

Conference proceedings International

Title: 2020 28th Mediterranean Conference on Control and Automation (MED)

Pages: 659-664

Indexing

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Other information

Authenticus ID: P-00S-RJT

DOI: 10.1109/med48518.2020.9182929

Abstract (EN): This article describes the design of distributed Model Predictive Control (MPC) strategies based on a linear model of a water delivery canal, composed of three pools, each ending with a gate. The distributed MPC control algorithm relies on a Distributed Alternating Direction Method of Multipliers (D-ADMM) optimization framework. A non-linear model of the canal is used to identify a linearized model around an equilibrium point, which is then used to design the controllers. Since the plant states are not accessible, a Kalman filter is used to estimate them. Integral action is also included together with an anti-windup algorithm. Simulations using the nonlinear plant model are presented to show the impact of control algorithm parameters on performance. © 2020 IEEE.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6