Model-based Fuzzy Control of Air-Conditioning Systems using Air Bypass for Optimized Dehumidification

被引：1
|
作者：
Goldschmidt, Nico [1 ]
Schulte, Horst [1 ]
机构：
[1] Univ Appl Sci HTW Berlin, Fac 1, Sch Engn Energy & Informat, Control Engn Grp, Berlin, Germany
来源：
IFAC PAPERSONLINE | 2017年 / 50卷 / 01期
关键词：
output feedback control; Fuzzy and neural systems relevant to control and identification; Modeling; IDENTIFICATION;
D O I：
10.1016/j.ifacol.2017.08.814
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents a model-based multi-variable controller for large-scale air-conditioning systems. First, a generic model of a cross-flow heat exchanger is proposed. Thereafter a control-oriented model in Takagi-Sugeno form is derived based on well-reasoned simplifications. The Takagi-Sugeno structure allows for the design of a parallel-distributed output feedback controller for the entire operating range of the air-conditioning system with respect to the outlet air temperature and humidity. An illustrative example with common requirements and ambient conditions demonstrates the effectiveness of the proposed controller scheme. (C) 2017, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
引用
收藏
页码：4203 / 4208
页数：6
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