Internal flow management in a multi-zone climate control unit

被引:0
|
作者
De Persis, C.
Jessen, J. J.
Izadi-Zamanabadi, R.
Schioler, H.
机构
[1] Univ Roma La Sapienza, Dipartimento Informat & Sistemist A Ruberti, I-00184 Rome, Italy
[2] Univ Aalborg, Ctr Embedded Software Syst, Dept Control Engn, Aalborg, Denmark
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 contribution, we examine a dynamic model describing the evolution of internal climate conditions in a closed environment partitioned into zones for which different climate conditions must be guaranteed. The zones are not separated, large air masses are exchanged among them, and the behavior of each zone is strongly affected by those in the neighbor zones. We discuss a control strategy which, by acting on the heating and ventilation devices of the overall system, is able to achieve the control task while efficiently managing the internal flow. It is pointed out that the controller is hybrid and decentralized. An additional feature of the controller is that it takes on values in a finite set. The possible implementation in a networked environment is briefly discussed.
引用
收藏
页码:1043 / 1048
页数:6
相关论文
共 50 条
  • [1] A distributed control algorithm for internal flow management in a multi-zone climate unit
    De Persis, C.
    Jessen, J. J.
    Izadi-Zamanabadi, R.
    Schioler, H.
    INTERNATIONAL JOURNAL OF CONTROL, 2008, 81 (01) : 89 - 106
  • [2] Multi-zone Building Control System for Energy and Comfort Management
    Kan, Ee May
    Kan, Siew Leong
    Ling, Ngee Hoo
    Soh, Yvonne
    Lai, Matthew
    HYBRID INTELLIGENT SYSTEMS, HIS 2015, 2016, 420 : 41 - 51
  • [3] Multi-Zone Unit for Recurrent Neural Networks
    Meng, Fandong
    Zhang, Jinchao
    Liu, Yang
    Zhou, Jie
    THIRTY-FOURTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THE THIRTY-SECOND INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE AND THE TENTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2020, 34 : 5150 - 5157
  • [4] Multi-zone building energy management using intelligent control and optimization
    Yang, Rui
    Wang, Lingfeng
    SUSTAINABLE CITIES AND SOCIETY, 2013, 6 : 16 - 21
  • [5] Multi-zone control benefits IS machine lubrication
    Johnston, Mark
    Glass International, 2010, 33 (05): : 33 - 34
  • [6] ANALYSIS OF FLOW IN SMALL, MULTI-ZONE HVAC SYSTEMS
    NUNGESTER, B
    RHODES, T
    ASHRAE JOURNAL-AMERICAN SOCIETY OF HEATING REFRIGERATING AND AIR-CONDITIONING ENGINEERS, 1989, 31 (10): : 17 - &
  • [7] Apply Lagrangian relaxation to multi-zone congestion management
    Wang, X
    Song, YH
    2001 IEEE POWER ENGINEERING SOCIETY WINTER MEETING, CONFERENCE PROCEEDINGS, VOLS 1-3, 2001, : 399 - 404
  • [8] Power Optimizing Control of Multi-Zone Heat Pumps
    Bortoff, Scott A.
    Burns, Daniel J.
    Laughman, Christopher R.
    Qiao, Hongtao
    Danielson, Claus
    Goldsmith, Abraham
    Di Cairano, Stefano
    2018 IEEE CONFERENCE ON CONTROL TECHNOLOGY AND APPLICATIONS (CCTA), 2018, : 826 - 833
  • [9] Online Management and Control System for growing of monocrystal semiconductor materials in multi-zone furnaces
    Braeuer, Dirk
    Rehkopf, Andreas
    2008 IEEE INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES AND FACTORY AUTOMATION, PROCEEDINGS, 2008, : 1072 - 1075
  • [10] Distributed Adaptive Control of Multi-Zone HVAC Systems
    Lymperopoulos, Georgios
    Ioannou, Petros
    2019 27TH MEDITERRANEAN CONFERENCE ON CONTROL AND AUTOMATION (MED), 2019, : 553 - 558