Predictive control as an intelligent tool to manage water distribution networks

被引:0
|
作者
Figueiredo, Joao [1 ]
Sá da Costa, Jose [2 ]
机构
[1] Univ Evora, Mechatron Dept, Rua Romao Ramalho 59, P-7000761 Evora, Portugal
[2] Univ Tecn Lisboa, IDMEC, Dept Mech, P-1049001 Lisbon, Portugal
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
Fresh water is becoming a major concern in actual societies as it represents only 2.5% of the total Earth water reserves. Some recent studies point the year 2025 when 2 of every 3 persons will be affected by the lack of fresh water. This paper presents a Predictive Controller strategy that is implemented on a modern automated water canal where sensors and actuators are controlled via a PLC (Programmable Local Controller) network supervised by a SCADA system (Supervisory Control And Data Acquisition). This canal prototype is composed by a set of distributed sub-systems that manage local control to assure the water level in each canal pool, defined by discharge gates (control variable) and water off-takes (disturbances). All local controllers are connected through an industrial network to be assessed by a SCADA system where the global overview and the centralized Predictive Control algorithm is running. Extreme severe situations have been simulated and the obtained results proved the very good robustness of the developed controller.
引用
收藏
页码:568 / 573
页数:6
相关论文
共 50 条
  • [1] Intelligent system for control of water distribution networks
    Barros Filho, Emanuel Guerra
    Salvino, Lais Regis
    Marques Bezerra, Saulo de Tarso
    Salvino, Moises Menezes
    Gomes, Heber Pimentel
    [J]. WATER SCIENCE AND TECHNOLOGY-WATER SUPPLY, 2018, 18 (04): : 1270 - 1281
  • [2] Economic Predictive Control with Periodic Horizon for Water Distribution Networks
    Urkmez, Mirhan
    Kallesoe, Carsten
    Bendtsen, Jan Dimon
    Leth, John
    [J]. IFAC PAPERSONLINE, 2023, 56 (02): : 4669 - 4674
  • [3] Online Model Predictive Control of Municipal Water Distribution Networks
    Sankar, Gokul Siva
    Narasimhan, Sridharakumar
    Narasimhan, Shankar
    [J]. 11TH INTERNATIONAL SYMPOSIUM ON PROCESS SYSTEMS ENGINEERING, PTS A AND B, 2012, 31 : 1622 - 1626
  • [4] Predictive Analysis Tool for Energy Distribution Networks
    Chamoso, Pablo
    De Paz, Juan F.
    Bajo, Javier
    Villarrubia, Gabriel
    Manuel Corchado, Juan
    [J]. ADVANCES IN ARTIFICIAL INTELLIGENCE, CAEPIA 2016, 2016, 9868 : 271 - 279
  • [5] Adaptive Model Predictive Control for Fire Incidents in Water Distribution Networks
    Nerantzis, Dimitrios
    Stoianov, Ivan
    [J]. JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT, 2022, 148 (02)
  • [6] Optimal operation of water distribution networks by predictive control using MINLP
    Biscos, C
    Mulholland, M
    Le Lann, MV
    Buckley, CA
    Brouckaert, CJ
    [J]. WATER SA, 2003, 29 (04) : 393 - 404
  • [7] Intelligent Control of Energy Distribution Networks
    Chamoso, Pablo
    Francisco De Paz, Juan
    Bajo, Javier
    Villarrubia, Gabriel
    [J]. TRENDS IN PRACTICAL APPLICATIONS OF SCALABLE MULTI-AGENT SYSTEMS, THE PAAMS COLLECTION, 2016, 473 : 99 - 107
  • [8] Economic model predictive control for the operation optimization of water distribution networks with risks
    Zhang, Yuan
    Zheng, Yi
    Li, Shaoyuan
    Zou, Yuanyuan
    [J]. ASIAN JOURNAL OF CONTROL, 2021, 23 (01) : 128 - 142
  • [9] Safe and Robust Cloud-based Predictive Control for Water Distribution Networks
    Kallesoe, Carsten Skovmose
    Deleuran, Joakim Borlum
    Balla, Krisztian Mark
    [J]. IFAC PAPERSONLINE, 2023, 56 (02): : 749 - 754
  • [10] Non-linear economic model predictive control of water distribution networks
    Wang, Ye
    Puig, Vicenc
    Cembrano, Gabriela
    [J]. JOURNAL OF PROCESS CONTROL, 2017, 56 : 23 - 34