Comparison of Fuzzy Logic and Neuro Fuzzy Algorithms for Air Conditioning System
Arshdeep Kaur1, Amrit Kaur2
1Arshdeep Kaur, Pursuing M.Tech., University College Of Engineering, Patiala (Punjab), India.
2Amrit Kaur, Assistant Professor, Punjabi University, Patiala (Punjab), India.
Manuscript received on February 15, 2012. | Revised Manuscript received on February 20, 2012. | Manuscript published on March 05, 2012. | PP: 417-420 | Volume-2 Issue-1, March 2012. | Retrieval Number: A0468022112/2012©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper provides the design for air conditioning system using fuzzy logic as well as neuro-fuzzy method. Inputs taken for the air conditioning system are from temperature and humidity sensors and the output is to control the compressor speed. The simulation results of both systems using fuzzy logic and neuro-fuzzy are shown as well as compared to signify better of the two.
Keywords: Air conditioning system, fuzzy logic control, neuro-fuzzy, rule base.