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Fuzzy Logic Based-System to Control Climate in Automobile
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English
Abstract
Traditional climate controller process depends upon the establishment of a mathematical model. Expert systems were created to mimic the behavior of a skilled human operator for those processes too complex to be mathematically modeled in real time[1]. Fuzzy logic inference engine use an expert system paradigm for automatic process control[2], and have been successful in controlling climate for a vehicle controller. Recently, there has been many practical applications of fuzzy control. Applications of fuzzy control to vehicles become more attractive. In this paper we implemented fuzzy logic based climate controller using software develpment tool (MATLAB).
Citation
Al-Holou, N. and Shah, K., "Fuzzy Logic Based-System to Control Climate in Automobile," SAE Technical Paper 940601, 1994, https://doi.org/10.4271/940601.Also In
References
- Abate Maurizio Dosio Norberto “Use of Fuzzy Logic for Engine Idle Speed Control” SAE Technical Paper, 900594
- Ito Hideaki Sano Noriyoshi Harata Yoshihisa “The Development Tool for the Real-Time Fuzzy Control System on a Vehicle” SAE Technical Paper, 922128
- Tanaka Hisashi Kitada Motohiro “Study on car Air Conditioning system controlled by Car Occupants' Skin” SAE Technical Paper,920170
- Sibigtroth James M. “Expert Rules in Hardware”
- Stander Douglas M. Choudhary Ritu “Temperature Control Using Fuzzy Logic”
- The Huntington Group “Introduction to Fuzzy Logic Systems” Baker David J. The Huntington Group