Human in the Loop Model Predictive Control: an Irrigation Canal Case Study

被引：0
|
作者：
Maestre, J. M. [1 ]
van Overloop, P. J. [2 ]
Hashemy, M. [3 ]
Sadowska, A. [4 ]
Camacho, E. F. [1 ]
机构：
[1] Univ Seville, Dept Syst & Automat, Seville, Spain
[2] Delft Univ Technol, Dept Water Management, NL-2600 AA Delft, Netherlands
[3] Univ Tehran, Dept Irrigat & Drainage, Tehran 14174, Iran
[4] Delft Univ Technol, Delft Ctr Syst & Control, NL-2600 AA Delft, Netherlands
来源：
2014 IEEE 53RD ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC) | 2014年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：4881 / 4886
页数：6
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