Real-Time Infinite Horizon Adaptive/Predictive Control for Smart Home HVAC Applications

被引:0
|
作者
Short, Michael [1 ]
机构
[1] Univ Teesside, Elect & Control Grp, Middlesbrough, Cleveland, England
关键词
MODEL-PREDICTIVE CONTROL;
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
The potential benefits that adaptive and predictive control schemes can bring to building environment control applications such as HVAC have been well documented in recent years. One significant drawback of these schemes is that in many cases they require large computational burdens, especially in adaptive situations and when constraints are present. A secondary drawback is the large number of parameters that have to be potentially tuned. As high-bandwidth real-time embedded computing platforms and advanced levels of control knowledge may not be realistic expectations for many users, the applicability of advanced schemes is currently limited for most Smart home applications. In this paper, a prototype infinite-horizon 'plug-and-play' adaptive MPC scheme is presented for input-constrained HVAC applications. The scheme has been optimized for real-time implementation on small, low-cost embedded processors and requires little user preconfiguration. Preliminary hardware-in-the-loop based experimental results indicate good performance of the technique coupled with extremely low overheads.
引用
收藏
页数:8
相关论文
共 50 条
  • [1] Real-time face recognition for smart home applications
    Zuo, F
    de With, PHN
    [J]. ICCE: 2005 INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS, DIGEST OF TECHNICAL PAPERS, 2005, : 35 - 36
  • [2] Application of adaptive multivariable Generalized Predictive Control to a HVAC system in real time
    Gulan, Martin
    Salaj, Michal
    Rohal'-Ilkiv, Boris
    [J]. ARCHIVES OF CONTROL SCIENCES, 2014, 24 (01): : 67 - 84
  • [3] Real-time model predictive cooling control for an HVAC system in a factory building
    Ra, Seon Jung
    Kim, Jin-Hong
    Park, Cheol Soo
    [J]. ENERGY AND BUILDINGS, 2023, 285
  • [4] Real-Time Adaptive Traffic Control System For Smart Cities
    Shankaran, Shyam R.
    Rajendran, Logesh
    [J]. 2021 INTERNATIONAL CONFERENCE ON COMPUTER COMMUNICATION AND INFORMATICS (ICCCI), 2021,
  • [5] A real-time algorithm for nonlinear infinite horizon optimal control by time axis transformation method
    Marutani, Jun
    Ohtsuka, Toshiyuki
    [J]. INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2013, 23 (17) : 1955 - 1971
  • [6] Model predictive HVAC load control in buildings using real-time electricity pricing
    Avci, Mesut
    Erkoc, Murat
    Rahmani, Amir
    Asfour, Shihab
    [J]. ENERGY AND BUILDINGS, 2013, 60 : 199 - 209
  • [7] Adaptive uncertainty compensation-based nonlinear model predictive control with real-time applications
    Cetin, Meric
    Bahtiyar, Bedri
    Beyhan, Selami
    [J]. NEURAL COMPUTING & APPLICATIONS, 2019, 31 (Suppl 2): : 1029 - 1043
  • [8] Adaptive uncertainty compensation-based nonlinear model predictive control with real-time applications
    Meriç Çetin
    Bedri Bahtiyar
    Selami Beyhan
    [J]. Neural Computing and Applications, 2019, 31 : 1029 - 1043
  • [9] A Predictive Control Scheme for Real-Time Demand Response Applications
    Lampropoulos, Ioannis
    Baghina, Nadina
    Kling, Wil L.
    Ribeiro, Paulo F.
    [J]. IEEE TRANSACTIONS ON SMART GRID, 2013, 4 (04) : 2049 - 2060
  • [10] Real-time performance assessment and adaptive control for a water chiller unit in an HVAC system
    Bai, Jianbo
    Li, Yang
    Chen, Jianhao
    [J]. INTERNATIONAL CONFERENCE ON ENERGY ENGINEERING AND ENVIRONMENTAL PROTECTION (EEEP2017), 2018, 121