Thermal Modeling and Fuzzy Logic Temperature Controller for Prototypical Room

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2016 by IJETT Journal
Volume-36 Number-8
Year of Publication : 2016
Authors : Patil C. B., Atar K. D., Potdar S. R., Mudholkar R. R
  10.14445/22315381/IJETT-V36P278

MLA 

Patil C. B., Atar K. D., Potdar S. R., Mudholkar R. R"Thermal Modeling and Fuzzy Logic Temperature Controller for Prototypical Room", International Journal of Engineering Trends and Technology (IJETT), V36(8),432-438 June 2016. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group

Abstract
In modern lifestyle the energy demand for space heating is growing rapidly around the world because of rising incomes and natural propensity for indoor comfort. Circumventing the upward pressure on energy demand dictates the designing of intelligent control strategies for Room Heaters (Space Heaters) to make them energy efficient. In this paper a thermal modeling of a prototypical room and electric heater is carried out by applying energy conservation equations in modeling the room air temperature that is being accomplished in the SIMULINK environment of MATLAB. Fuzzy Logic Control strategy is implemented using Fuzzy Tool-box and SIMULINK facility. Results have shown that Fuzzy Logic Control is a promising control strategy because of its small overshoot, fast responses, and high precision. It is observed that use of equipments and lights in the room causes the heat gain, which raises the room temperature. Fuzzy Logic Controller detects it and kept the temperature to the comfortable level set by the user. Also the sensible heat gain generated by the people is handled cleverly by the controller. The impacts of thermal mass are also considered and it is verified that the building with high thermal mass consumes less energy to maintain thermal comfort than low thermal mass buildings.

 References

[1] Klaus Kaae Andersen, Henrik Madsen and Lars H. Hansen “Modeling the heat dynamics of a building using stochastic differential equations”,Energy and Buildings Vol.31, Issue 1, Pp. 13-24 January 2000
[2] L.A. Zadeh, Outline of A New Approach to the Analysis of Complex Systems and Decision Processes, 1973
[3] K. Tanaka, An Introduction to Fuzzy Logic for Practical Applications, Springer, 1997.
[4] Daniel Ryder-Cook, Supervisor: Prof David MacKay; “Thermal Modeling of Buildings”,May 11 2009.
[5] Mendes N et al, “A Matlab-Based Simulation Tool For Building Thermal performance Analysis” Eighth International IBPSA Conference; August 11-14, 2003.
[6] Neeraja S et al, “Fuzzy Logic Control Based Integrated 2D Buck- Boost Converter ”; International Journal of Engineering Trends and Technology (IJETT) – Volume 30 Number 4 - December 2015.
[7] Kova´Rov ˇ A and R. Viertl “The Generation of Fuzzy Sets and The Construction of Characterizing Functions of Fuzzy Data” Iranian Journal of Fuzzy Systems Vol. 12, No. 6, pp. 1-16, 2015
[8] M. Khademi and V. Amirzadeh “Fuzzy Rules For Fuzzy X and R Control Charts” Iranian Journal of Fuzzy Systems Vol. 11, No. 5, (2014) pp. 55-66
[9] Ms.Jeyalakshmi M.S et al, “Fuzzy based Expert system for sleep Apnea diagnosis”, International Journal of Engineering Trends and Technology (IJETT) – Volume 35 Number 12 - May 2016

Keywords
Thermal modeling, prototypical room, Room Heater, SIMULINK, Fuzzy Logic Controller