Human in the loop model Predictive Control: an irrigation canal case study

In this work, we propose to expand the application of model predictive control (MPC) to problems in which there are human agents involved in the sensing and actuation processes. To this end, a new configuration of a control system structure that combines centralized predictive control and local operations is presented. Additional constraints are included in the optimization problem to take into account the mobility and the role of the operators over the prediction horizon. This new type of control system structure, referred to as Mobile Model Predictive Control (MoMPC), is tested on a linear model of a large scale irrigation canal and its performance is compared to centralized MPC and manual operation.

[1]  Eduardo F. Camacho,et al.  Coalitional model predictive control of an irrigation canal , 2014 .

[2]  S. Dijkstra,et al.  Simple Water Level Controller for Irrigation and Drainage Canals , 1999 .

[3]  Anne Nagel,et al.  Model Predictive Control In The Process Industry , 2016 .

[4]  Aliasghar Montazar,et al.  Designing and evaluating control systems of the Dez main canal , 2011 .

[5]  Aliasghar Montazar,et al.  Centralized controller for the Narmada main canal , 2005 .

[6]  Xavier Litrico,et al.  Modeling and Control of Hydrosystems , 2009 .

[7]  A. J. Clemmens,et al.  Modeling of irrigation and drainage canals for controller design , 1999 .

[8]  Paul A. Trodden,et al.  Adaptive cooperation in robust distributed model predictive control , 2009, 2009 IEEE Control Applications, (CCA) & Intelligent Control, (ISIC).

[9]  P. J. Van Overloop,et al.  Model Predictive Control on Open Water Systems , 2006 .

[10]  J. Schuurmans,et al.  Control of Water Levels in Open-Channels , 1997 .

[11]  A. J. Clemmens,et al.  Simple Optimal Downstream Feedback Canal Controllers: Theory , 2004 .

[12]  Bart De Schutter,et al.  Distributed model predictive control of irrigation canals , 2009, Networks Heterog. Media.

[13]  Edward A. Lee.  Cyber Physical Systems: Design Challenges , 2008, 2008 11th IEEE International Symposium on Object and Component-Oriented Real-Time Distributed Computing (ISORC).

[14]  Eduardo F. Camacho,et al.  A hierarchical distributed model predictive control approach to irrigation canals: A risk mitigation perspective , 2011 .

[15]  Eduardo F. Camacho,et al.  Coalitional control: An irrigation canal case study , 2013, 2013 10th IEEE INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL (ICNSC).

[16]  Charles M. Burt.  Current Canal Modernization from an International Perspective , 1999 .

[17]  P. Malaterre.  PILOTE: Linear Quadratic Optimal Controller for Irrigation Canals , 1998 .

[18]  José María Maestre,et al.  Application of an In-Line Storage Strategy to Improve the Operational Performance of Main Irrigation Canals Using Model Predictive Control , 2013 .

[19]  S. Joe Qin,et al.  A survey of industrial model predictive control technology , 2003 .