Title :
Human in the loop model Predictive Control: an irrigation canal case study
Author :
Maestre, J.M. ; van Overloop, P.J. ; Hashemy, M. ; Sadowska, A. ; Camacho, E.F.
Author_Institution :
Dept. of Syst. & Autom., Univ. of Seville, Seville, Spain
Abstract :
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.
Keywords :
centralised control; irrigation; optimisation; predictive control; MoMPC; centralized predictive control; human agents; human-in-the-loop model predictive control; irrigation canal case study; local operations; mobile model predictive control; optimization problem; prediction horizon; Actuators; Delays; Irrigation; Legged locomotion;
Conference_Titel :
Decision and Control (CDC), 2014 IEEE 53rd Annual Conference on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-1-4799-7746-8
DOI :
10.1109/CDC.2014.7040151
