A hybrid intelligent control based cyber-physical system for thermal comfort in smart homes

被引:0
|
作者
Zhu J. [1 ]
Lauri F. [2 ]
Koukam A. [2 ]
Hilaire V. [2 ]
Lin Y. [3 ]
Liu Y. [1 ]
机构
[1] School of Information Engineering, Chang'an University, Xi'an, Shaanxi
[2] IRTES-SET, Université de Technologie Belfort-Montbéliard, Belfort Cedex
[3] Software Engineering Institute, Xidian University, Xi'an, Shaanxi
基金
中国国家自然科学基金;
关键词
CPS; Cyber-physical system; Demand response; Particle swarm optimisation; PSO; Smart home; Thermal comfort;
D O I
10.1504/ijahuc.2019.098863
中图分类号
学科分类号
摘要
With the fast development of human society, as environmental issues have drawn incomparable attention, energy efficiency is playing a significant role in residential buildings. Meanwhile, spending more time in homes leads people to constantly improve comfort there. Considering the fact that space heating makes a great contribution to residential energy consumption and thermal comfort, this paper presents a novel hybrid intelligent control (HIC) system to manage space heating devices in a smart home with advanced technologies to save energy while to increase thermal comfort level. The approach combines a meta-heuristic algorithm used to compute a setpoint from the Predicted Mean Vote model with a Proportional-Integral-Derivative controller for indoor temperature regulation. In order to validate the system, computer simulations are conducted and analysed. The results indicate the proposed control system can provide better thermal comfort comparing with other conventional and intelligent control methods, and consume less energy when demand response is considered. © 2019 Inderscience Enterprises Ltd.
引用
收藏
页码:199 / 214
页数:15
相关论文
共 50 条
  • [1] A hybrid intelligent control based cyber-physical system for thermal comfort in smart homes
    Zhu, Jiawei
    Lauri, Fabrice
    Koukam, Abderrafiaa
    Hilaire, Vincent
    Lin, Yishuai
    Liu, Youquan
    INTERNATIONAL JOURNAL OF AD HOC AND UBIQUITOUS COMPUTING, 2019, 30 (04) : 199 - 214
  • [2] Study of Human Thermal Comfort for Cyber-Physical Human Centric System in Smart Homes
    Fang, Yuan
    Lim, Yuto
    Ooi, Sian En
    Zhou, Chenmian
    Tan, Yasuo
    SENSORS, 2020, 20 (02)
  • [3] Energy Efficient Thermal Comfort Control for Cyber-Physical Home System
    Cheng, Zhuo
    Shein, Wai Wai
    Tan, Yasuo
    Lim, Azman Osman
    2013 IEEE INTERNATIONAL CONFERENCE ON SMART GRID COMMUNICATIONS (SMARTGRIDCOMM), 2013, : 797 - 802
  • [4] A Hybrid Intelligent Control System Based on PMV Optimization for Thermal Comfort in Smart Buildings
    Zhu, Jiawei
    Lauri, Fabrice
    Koukam, Abderrafiaa
    Hilaire, Vincent
    ADVANCED COMPUTATIONAL METHODS FOR KNOWLEDGE ENGINEERING, 2015, 358 : 27 - 36
  • [5] Predictive Thermal Comfort Control for Cyber-Physical Home Systems
    En, Ooi Sian
    Yoshiki, Makino
    Lim, Yuto
    Tan, Yasuo
    2018 13TH ANNUAL CONFERENCE ON SYSTEM OF SYSTEMS ENGINEERING (SOSE), 2018, : 444 - 451
  • [6] Cyber-physical system for intelligent control of infrared heating
    Chikurtev, D.
    Ivanov, V
    Yosifova, V
    Dimitrov, D.
    IFAC PAPERSONLINE, 2022, 55 (11): : 37 - 41
  • [7] Cyber-Physical System for Smart Traffic Light Control
    Deshpande, Siddhesh
    Hsieh, Sheng-Jen
    SENSORS, 2023, 23 (11)
  • [8] Intelligent, smart and scalable cyber-physical systems
    Vijayakumar, V.
    Subramaniyaswamy, V.
    Abawajy, Jemal
    Yang, Longzhi
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2019, 36 (05) : 3935 - 3943
  • [9] Hybrid Cyber-Physical Intrusion Detection System for Smart Manufacturing
    Department of Computer Science, College of Engineering, Tennessee Tech University, Cookeville
    TN, United States
    Proc. Int. Fla. Artif. Intell. Res. Soc. Conf., FLAIRS,
  • [10] Machine Learning Based Manufacturing Control System for Intelligent Cyber-Physical Systems
    Shah, Vaibhav
    Putnik, Goran D.
    FME TRANSACTIONS, 2019, 47 (04): : 802 - 809