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A Seminar Report On AIR CONDITIONERS BASED ON FUZZY LOGIC Submitted By Under the guidance of

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A Seminar Report On AIR CONDITIONERS BASED ON FUZZY LOGIC Submitted By Under the guidance of
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  ASeminar Report On AIR CONDITIONERS BASED ON FUZZY LOGIC Submitted By SHANKARESHWARI NADAR  -  111P026SAYYED NAZNEEN NASIR  -  111P031DAKSHATA PADWAL  -  101P001 Under the guidance of  Prof. MOHAMMED ASHFAQUE SHAIKH Department of Computer Engineering Rizvi College of Engineering New Rizvi Educational Complex, Off-Carter Road,Bandra(w), Mumbai - 400050Affiliated to University of Mumbai  Rizvi College of Engineering Department of Computer Engineering New Rizvi Educational Complex, Off-Carter Road,Bandra(w), Mumbai - 400050 CERTIFICATE This is certify that SHANKARESHWARI NADARSAYYED NAZNEEN NASIRDAKSHATA PADWAL of   Third Year Computer Engineering  have completed the seminar work entitled  “Air ConditionersBased on Fuzzy Logic”  under my supervision at Rizvi College of Engineering, Mumbai under the Uni-versity of Mumbai.Prof.Mohammed Ashfaque Shaikh Prof. Dinesh B. Deore Project Guide HOD, Computer DepartmentInternal Examiner External Examiner Date: 25.04.2014  Acknowledgements I am profoundly grateful to  Prof. Mohammed Ashfaque Shaikh  for his expert guidance and contin-uous encouragement throughout to see that this report rights its target since its commencement to itscompletion.I would like to express deepest appreciation towards  Dr. Varsha Shah , Principal RCOE, Mumbai and Prof. Dinesh B. Deore  HOD Computer Department whose invaluable guidance supported me in com-pleting this report.At last I must express my sincere heartfelt gratitude to all the staff members of Computer EngineeringDepartment who helped me directly or indirectly during this course of work.SHANKARESHWARI NADARSAYYED NAZNEEN NASIRDAKSHATA PADWAL  ABSTRACT With the exponential increase in the use of cooling device, the air conditioning systems are becomingan essential part of our day to day life. Data suggest an exponential rise in the use of air conditioners inurban as well as rural India. With the increase in the usage of air conditioners, there is a simultaneousincrease in the electrical power consumption.According to the studies, by considering the input param-eters we can greatly modify the functioning of the AC and reduce the electrical energy intake of the ACcompressor/Fan while utilizing all available resources in the efficient manner. The climatic conditionof Bhubaneshwar, India has been taken into consideration. Bhubaneshwar being in the coastal area, thevalues of temperature and humidity are higher in comparison to non-coastal areas of India.  I NDEX 1 Introduction 1 1.1 Fuzzy set . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21.2 Membership function . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21.3 Application . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 2 Working of an Air Conditioner 3 2.0.1 Disadvantages . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 3 Fuzzy logic Air conditioner 54 Fuzzy logic controller 6 4.1 Data Base: . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64.2 Fuzzification: . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64.3 Fuzzy rule base: . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74.4 Fuzzy Inference machine: . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74.5 Defuzzification: . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 5 Fuzzy variables 8 5.1 Fuzzy input variables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 85.1.1 User temperature . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 85.1.2 Temperature difference . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 85.1.3 Dew point . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 95.1.4 Occupancy . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 95.1.5 Time of the day . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 95.2 Fuzzy Output Variables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105.2.1 Compressor speed Member functions . . . . . . . . . . . . . . . . . . . . . . . 105.2.2 Mode of operation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105.2.3 Fin direction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 6 Fuzzy Rule Base 147 Conclusion and Future Scope 16 7.1 Future Scope . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 167.2 Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16 References 17APPENDICES 17
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