Fuzzy logic controller design for staged heating and ventilating systems

被引:0
|
作者
机构
[1] Chao, K.
[2] Gates, R.S.
[3] Sigrimis, N.
来源
Gates, R.S. (gates@bae.uky.edu) | 1885年 / American Society of Agricultural and Biological Engineers卷 / 43期
关键词
Air quality - Atmospheric temperature - Fuzzy control - Space heating - Ventilation;
D O I
暂无
中图分类号
学科分类号
摘要
Conventional stage controllers (CSC) for interior environment control of agricultural facilities are prevalent and well suited for slowly varying loads, smaller facilities with few stages of control, and in cases where ″discrete proportional control″ is deemed adequate. Ad hoc implementation schemes for using the same CSC over a range in size of building heating and ventilating systems, from one heating and cooling stage to many, are practiced in the industry. A fuzzy logic controller (FLC) was developed to satisfy a broad spectrum of installation sizes without any modification. Principles for designing an environment controller that can mimic CSC behavior over a broad range of system size were applied. By adjusting a single additional input this controller provides users with a trade-off between energy use and control precision. Simulations were conducted using the same FLC in a greenhouse and a broiler house; these two examples were selected for their considerable difference in magnitude of energy transfer and loads. Disturbances investigated included: Variations in outside temperature, internal heat load (or solar load), and step changes in set point temperature. FLC system responses are compared with a representative CSC for stability, overshoot and mean square error from set point temperature. The FLC was able to keep the root-mean-square errors to 1.0 to 4.0°C, depending on different energy use settings. The FLC provided useful improvements in performance over a CSC, and is readily implemented in modern electronic controllers with floating point arithmetic capability.
引用
收藏
相关论文
共 50 条
  • [1] Fuzzy logic controller design for staged heating and ventilating systems
    Chao, K
    Gates, RS
    Sigrimis, N
    TRANSACTIONS OF THE ASAE, 2000, 43 (06): : 1885 - 1894
  • [2] Design of fuzzy logic controller for a class of nonlinear systems
    Chen, WL
    Chen, TP
    INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 1996, 27 (02) : 187 - 191
  • [3] Design of a fuzzy logic controller as a suction controller
    Lee, TT
    Tu, KY
    Wang, WJ
    FUZZY SETS AND SYSTEMS, 1997, 91 (03) : 305 - 317
  • [4] A DESIGN FOR A FUZZY-LOGIC CONTROLLER
    MAEDA, M
    MURAKAMI, S
    INFORMATION SCIENCES, 1988, 45 (02) : 315 - 330
  • [5] Fuzzy Logic Controller for Embedded Systems
    Kravets, Petro
    Kyrkalo, Roman
    MEMSTECH: 2009 INTERNATIONAL CONFERENCE ON PERSPECTIVE TECHNOLOGIES AND METHODS IN MEMS DESIGN, 2009, : 46 - 47
  • [6] A simulation of a fuzzy logic based heating controller with ANFIS
    Zainzinger, HJ
    Wildenauer, HJ
    Schildt, GH
    COMPUTATIONAL INTELLIGENCE FOR MODELLING, CONTROL & AUTOMATION - EVOLUTIONARY COMPUTATION & FUZZY LOGIC FOR INTELLIGENT CONTROL, KNOWLEDGE ACQUISITION & INFORMATION RETRIEVAL, 1999, 55 : 334 - 339
  • [7] Fuzzy logic controller design applied to servo-drive systems
    Garcia, Aldo Pardo
    Díaz Rodríguez, Jorge Luis
    WSEAS Transactions on Systems, 2005, 4 (07): : 935 - 940
  • [8] Design of Fuzzy Logic-Based Controller for Nonlinear Power Systems
    Rekha
    Singh, A. K.
    SOFT COMPUTING IN DATA ANALYTICS, SCDA 2018, 2019, 758 : 285 - 296
  • [9] Application of fuzzy-PID controller in heating ventilating and air-conditioning system
    Wang, Jiangjiang
    An, Dawei
    Lou, Chengzhi
    IEEE ICMA 2006: PROCEEDING OF THE 2006 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION, VOLS 1-3, PROCEEDINGS, 2006, : 2217 - +
  • [10] Energy Conservation Possibilities in Heating Ventilating Air Conditioning system using Fuzzy Logic
    Gokilaveni, S.
    Loganthurai, P.
    PROCEEDINGS OF 2015 IEEE 9TH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS AND CONTROL (ISCO), 2015,