A Temperature Controlled System for Car Air Condition Based on Neuro-fuzzy
Neural networks are good at recognizing patterns, but they are not good at explaining how they reach their decisions, while Fuzzy logic systems, which can reason with imprecise information, are good at explaining their decisions but they cannot automatically acquire the rules they use to make those decisions. These limitations have been a central driving force behind the creation of intelligent hybrid systems where two or more techniques are combined in a manner that overcomes individual techniques.Based on these theory, we propose an automated neuro-fuzzy system approach for controlling car air condition temperature.Simulation shows that Its control performance and stability was found to be improved significantly and even superior to the optimized PID controller and optimized conventional fuzzy controller. The system temperature was controlled with desired performance.
component formatting style styling insert Car Air Condition Neuro-fuzzy control temperature
BINGQIANG HE RONGGUANG LIANG JIANGHONG WU XIHUI WANG
South China University of Technology, Guangzhou, 510641China Guangdong Technical College of Water R South China University of Technology, Guangzhou, 510641China
国际会议
武汉
英文
1243-1246
2009-11-18（万方平台首次上网日期，不代表论文的发表时间）