IJSER Home >> Journal >> IJSER
International Journal of Scientific and Engineering Research
ISSN Online 2229-5518
ISSN Print: 2229-5518 5    
Website: http://www.ijser.org
scirp IJSER >> Volume 2, Issue 5, May 2011 Edition
Autonomous Room Air Cooler Using Fuzzy Logic Control System
Full Text(PDF, 3000)  PP.  
M. Abbas, M. Saleem Khan, Fareeha Zafar
Fuzzy Logic Control, Inference Engine, MATLAB simulation and Rule Selection
This research paper describes the design and implementation of an autonomous room air cooler using fuzzy rule based control system. The rule base receives two crisp input values from temperature and humidity sensors, divides the universe of discourse into regions with each region containing two fuzzy variables, fires the rules, and gives the output singleton values corresponding to each output variable. Three defuzzifiers are used to control the actuators; cooler fan, water pump and room exhaust fan. The results obtained from the simulation were found correct according to the design model. This research work will increase the capability of fuzzy logic control systems in process automation with potential benefits. MATLAB-simulation is used to achieve the designed goal.
[1] E. Frias-Martinez, G. Magoulas, S. Chen and R. Macredie, “Modeling human behavior in user-adaptive systems: Recent advances using soft computing techniques” Expert Syst. Appl.29:2 (2005) 320-329

[2] M. Perkowitz and O. Etzioni, “Adaptive web sites” Commun ACM 43: 8 (2000) 152-158

[3] M. Spott and D. Nauck, “Towards the automation of intelligentdata analysis” Appl. Soft Comput. 6(2006) 348- 356

[4] S. Gottwald, “Mathematical fuzzy logic as a tool for the treatment of vague information” Inf. Sci. 172:1-2 (2005) 41-71

[5] H. J. Zimmermann, “Fuzzy Set and Its Applications, 3rd ed.” Kluwer Academic Publishers, Norwell, MA. (1996)

[6] Y.Y. Chen and T.C. Tsao, “A Description of the Dynamic Behaviour of Fuzzy Systems”, IEEE Trans. 19 (1989)745- 755

[7] M. Sugeno Tanaka, “Successive Identification of a Fuzzy Modeand its Application to Prediction of a Complex System”, Fuzzy Sets Syst. 42 (1991)315-334

[8] M.Y. Hassan and F. Waleed Sharif, “Design of FPGA Based PID-like Fuzzy Controller for Industrial Applications”, IAENG, IJCS. 34:2 (2005)

[9] Shakowat Zaman Sarkar, “A proposed Air–conditioning systemusing Fuzzy Algorithm for Industrial Application” ICSE IEEE Proc. (2006) 832-834

[10] Shabiul Islam, Shakowat, ”Development of a Fuzzy Logic Controller Algorithm for Air-conditioning System”, ICSE2006Proc2006 IEEE

[11] M. Saleem Khan and Khaled Benkrid, “Multi- Dimensional Supervisory Fuzzy Logic Control DEV, Processing System forIndustrial Applications” Lecture Notes in Engineering and Computer Science vol. 2175, p.p. 1208-1217, Directory of Open Access Journals (DOAJ)

[12] M. Berthold, D. Hand, “Intelligent Data Analysis, 2nd ed.”, Springer-Verlag, Heidelberg (2006)

[13] M. Saleem Khan and Khaled Benkrid, “A proposed Grinding and Mixing System using Fuzzy Time Control Discrete Event Model for Industrial Application”, Lecture Notes in Engineering and Computer Science vol. 2175 2009, p.p. 1231-1236, Directory of Open Access Journals (DOAJ)

[14] M. Saleem Khan and Khaled Benkrid, “Design of Liquids Mixing Control System using Fuzzy Time Control Discrete Event Model for Industrial Applications”, World Academy of Science, Engineering and Technology vol. 72 2010, p.p. 545-553, Directory of Open Access Journals (DOAJ) 81

Untitled Page