Fuzzy Logic Control of Centralized Chilled Water System
DOI:
https://doi.org/10.11113/jt.v72.3884Keywords:
Membership functions, fuzzy logic controller, HVACAbstract
Fuzzy logic controller has been proven to control nonlinear process system and HVAC is a type of nonlinear process systems. This paper studies the performance of fuzzy logic controller with three and five term membership function in centralized chilled water system. Three different cases are simulated and analyzed for both type of controllers. Results show that the performances between both controllers are almost similar with no significant difference. It is also encountered that in certain cases, 3-mf fuzzy logic controller outperformed 5-mf fuzzy logic controller.
References
Ying, H., W. Siler and Buckley, J. J. 1990. Fuzzy Control Theory: A Nonlinear Case. Automatica. 26: 513–520.
Castro, J. R., Castillo, O. and Melin, P. 2007. An interval Type-2 Fuzzy Logic Toolbox for Control Applications, FUZZ-IEEE 2007, London.
Birkin, P. A. S. and Garibaldi, J. M. 2009. A Comparison of Type-1 and Type-2 Fuzzy Controllers in a Micro-Robot Context, FUZZ-IEEE 2009, Korea. 1857–1862.
Singh, J., N. and Sharma, J. K. 2006. Fuzzy Modeling and Control of HVAC Systems–A Review. Journal of Scientific & Industrial Research. 470–476.
Becker, M., Oestreich, D., Hasse, H. and Litz, L. 1994. Fuzzy Control for Temperature and Humidity in Refrigeration Systems. IEEE Transaction. 1607–1611.
Calvino, F., Gennusa, M. L., Rizzo, G. and Scaccianoce, G. 2004. The Control of Indoor Thermal Comfort Conditions:Introducing A Fuzzy Adaptive Controller. Energy Buildings. 36: 97–102.
Aprea, C., Mastrullo, R. and Renno, C. 2004. Fuzzy Control of the Compressor Speed in a Refrigeration Plan. International Journal of Refrigeration. 2: 134–143.
Soyguder, S., M., Karakose and Alli, H. 2009. Design and Simulation of Self-Tuning PID-Type Fuzzy Adaptive Control for an Expert HVAC System. Expert System with Applications. 36: 4566–4573.
Kim, K., Baek, J., Kim, E. and Park, M. 2005. TSK fuzzy Model Based Online Identification. Eleventh International Fuzzy Systems Association World Congress. 1435–1439.
Castillo, O. 2010. Interval Type-2 Fuzzy Logic for Control Applications. 2010 IEEE International Conference on Granular Computing. 79–84.
Thosar, A., Patra, A. and Bhattacharyya, S. 2008. Feedback Linearization Based Control of a Variable Air Volume Air Conditioning System for Cooling Applications. ISA Transactions. 47: 339–349.
Reppa,V., Papadopoulos, P., Polycarpou, M. M. and Panayioyou, C. G. 2013. Distributed Detection and Isolation of Sensor Faults in Hvac Systems. 2013 21st Mediterranean Conference on Control & Automation. 401–406.
Pravesh, A. , Mohammadi, S.M.A. and Parvaresh, A. 2012. A New Mathematical Dynamic Model For HVAC System Components Based on MATLAB/SIMULINK. International Journal of Innovative Technology and Exploring Engineering (IJITEE).
Salli, S. N. M. 2013. Fuzzy Logic in Temperature Distribution Control. Master thesis, UTM.
Wang, S., Wang, J. and Burnett, J. 2000. Mechanistic Model of Centrifugal Chillers for HVAC System Dynamics Simulation. Building Serv Eng Res Technol 2000. 21(73): 73–83.
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