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스마트 빌딩의 편리한 온도조절을 위해 퍼지로직과 신경회로망을 이용한 지능형 PID 컨트롤러 연구Intelligent PID Controller for Smart Building Comfort Temperature Control Basedon Fuzzy Logic and Neural Networks
- Other Titles
- Intelligent PID Controller for Smart Building Comfort Temperature Control Basedon Fuzzy Logic and Neural Networks
- Issue Date
- 2017
- Publisher
- 한국지능시스템학회
- Keywords
- HVAS; 온도제어; 에너지 소모; 마이크로클라이메트 제어시스템; PID 컨트롤러; HVAC; temperature control; energy consumption; microclimate control system; PID Controller
- Citation
- 한국지능시스템학회 논문지, v.27, no.6, pp.522 - 529
- Journal Title
- 한국지능시스템학회 논문지
- Volume
- 27
- Number
- 6
- Start Page
- 522
- End Page
- 529
- ISSN
- 1976-9172
- Abstract
- Providing a comfortable indoor climate for people, using heating, ventilationandair conditioning (HVAC) systems, in commercial or residential buildings is an extremely important problem. This is directly related to the design of the multi-channel controllers. In this paper, we propose the followings. First, the analysisand building of aninteractive nonlinear mathematical model of the required comfort temperature is presented in this paper. Then, the paper refers to methods of design of traditional PID controllers, PID controllers combined with decoupled controllers, and PID controllers with self-tuning parametersbased on fuzzy logic principles. Finally, we propose the simulation results of a proposed fuzzPy-ID controller in Matlab, andanalyzeexperimental results for a6 -month period by applying the proposed system.
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Related Researcher
- Cho, Young Im
- College of IT Convergence (컴퓨터공학부(컴퓨터공학전공))