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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2016.10
- 수록면
- 161 - 166 (6page)
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초록· 키워드
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The heating, ventilation, and air conditioning is a technology used in smart buildings, providing thermal comfort and acceptable air quality. Heating system is the most important part of this technology and several methods have been proposed for controlling it. The model of heating system includes time delay. Moreover, the model parameters are changed based on the operation mode. In this paper, Smith predictor is proposed as a solution for controlling the time delayed system. In addition, to overcome the uncertain condition of the model, a self-tuning PID controller is employed based on the fuzzy logic. Therefore, in this paper, a self-tuning fuzzy logic PID controller based on Smith predictor is proposed to control the heating system. The findings obtained from various simulation results verified the remarkable precision of the proposed method in controlling the heating system in comparison to the other controllers like PID and PID based on Smith predictor.
목차
Abstract
1. Introduction
2. Heating System Modeling and Identification
3. Smith Predictor
4. PID Controller
5. Self-tuning PID base on fuzzy logic
6. FLST-PID Controller Based on Smith Predictor
7. Simulation Results
8. Conclusion
9. References
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UCI(KEPA) : I410-ECN-0101-2017-003-001868126