A Feedback Simulation Procedure for Real-time Control of Urban Drainage Systems

被引：6

作者：

Romero Ben, Luis ^{[1
]}

Sun, Congcong ^{[1
]}

Guasch Palma, Ramon ^{[3
]}

Joseph Duran, Bernat ^{[2
]}

Meseguer, Jordi ^{[2
]}

Cembrano, Gabriela ^{[1
,2
]}

Puig, Vicenc ^{[1
]}

机构：

[1] Inst Robot & Informat Ind CSIC UPC, Barcelona 08028, Spain

[2] CETaqua, Water Technol Ctr, Barcelona 08904, Spain

[3] Aquatec, Proyectos Sect Agua, Barcelona 08038, Spain

来源：

IFAC PAPERSONLINE | 2019年 / 52卷 / 23期

关键词：

RTC; UDS; feedback simulation procedure; high-fidelity simulator; MPC; MODEL-PREDICTIVE CONTROL; WATER NETWORKS APPLICATION; RECEDING HORIZON CONTROL; SEWER NETWORKS;

D O I：

10.1016/j.ifacol.2019.11.016

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents a feedback simulation procedure for the real-time control (RTC) of urban drainage systems (UDS) with the aim of providing accurate state evolutions to the RTC optimizer as well as illustrating the optimization performance in a virtual reality. Model predictive control (MPC) has been implemented to generate optimal solutions for the multiple objectives of UDS using a simplified conceptual model. A high-fidelity simulator InfoWorks ICM is used to carry on the simulation based on a high level detailed model of a UDS. Communication between optimizer and simulator is realized in a feedback manner, from which both the state dynamics and the optimal solutions have been implemented through realistic demonstrations. In order to validate the proposed procedure, a real pilot based on Badalona UDS has been applied as the case study. Copyright (C) 2019. The Authors. Published by Elsevier Ltd. All rights reserved.

引用

页码：101 / 106

页数：6

共 50 条

[31] Real-time optimal control of HVAC systems: Model accuracy and optimization reward
Hou, Jin
Li, Xin
Wan, Hang
Sun, Qin
Dong, Kaijun
Huang, Gongsheng
JOURNAL OF BUILDING ENGINEERING, 2022, 50
[32] A Hybrid Real-Time Command Governor Supervisory Scheme for Constrained Control Systems
Famularo, Domenico
Franze, Giuseppe
Furfaro, Angelo
Mattei, Massimiliano
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2015, 23 (03) : 924 - 936
[33] Real-time Digital Control of Time-delay Systems: from Smith Predictor to MPC
Holis, Radek
Bobal, Vladimir
Vojtesek, Jiri
2017 INTERNATIONAL CONFERENCE ON ENGINEERING, TECHNOLOGY AND INNOVATION (ICE/ITMC), 2017, : 254 - 263
[34] Real-Time Control for Autonomous Racing Based on Viability Theory
Liniger, Alexander
Lygeros, John
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2019, 27 (02) : 464 - 478
[35] A Fast Nonlinear Model Predictive Control Strategy for Real-time Motion Control of Mechanical Systems
Chen, Yutao
Cuccato, Davide
Bruschetta, Mattia
Beghi, Alessandro
2017 IEEE INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT MECHATRONICS (AIM), 2017, : 1780 - 1785
[36] Model Predictive Control for Real-time Simulation of a Network-controlled Vehicle Drivetrain
Caruntu, Constantin Florin
Onu, Doina
Braescu, Florin Catalin
Lazar, Corneliu
2011 2ND EASTERN EUROPEAN REGIONAL CONFERENCE ON THE ENGINEERING OF COMPUTER BASED SYSTEMS (ECBS-EERC), 2011, : 115 - 123
[37] Performance study of model predictive control with reference prediction for real-time hybrid simulation
Zeng, Chen
Guo, Wei
Shao, Ping
JOURNAL OF VIBRATION AND CONTROL, 2024, 30 (7-8) : 1659 - 1673
[38] Adaptive model predictive control for actuation dynamics compensation in real-time hybrid simulation
Tsokanas, N.
Pastorino, R.
Stojadinovic, B.
MECHANISM AND MACHINE THEORY, 2022, 172
[39] Model Predictive Control of Urban Drainage Systems Considering Uncertainty
Svensen, Jan Lorenz
Sun, Congcong
Cembrano, Gabriela
Puig, Vicenc
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2023, 31 (06) : 2968 - 2975
[40] Decentralized Control for Urban Drainage Systems Using Replicator Dynamics
Obando, German
Quijano, Nicanor
Ocampo-Martinez, Carlos
IEEE ACCESS, 2022, 10 : 56740 - 56762

← 1 2 3 4 5 →