Pressure tracking control of a pneumatic control system

• Main Authors: Lee, jiann bang, 李建邦
• Other Authors: Ming-Chang Shih
• Format: Others
• Language: zh-TW
• Published: 1998
• Online Access: http://ndltd.ncl.edu.tw/handle/34913924192704550578

碩士 === 國立成功大學 === 機械工程學系 === 86 === Because of the high compressibility of air, it is very difficult to obtain the precise mathematical model of pneumatic control system. The fuzzy logic control and the neural network theories have been developed in the recent decades. By means of applying the fuzzy logic control theory to design a controller whose mathematical model of the system is not necessary, and the neural network has the ability of learning. Therefor, it is very suitable to apply the intelligent control theory which combines the fuzzyThis paper presents an on-line neural fuzzy controller to control the preesure of a pneumatic cylinder. According to the system output and input relation The learning rate can adjust by itself for increasing learning efficiency. A pressure reducing valve is often used in traditional pneumatic pressure control system, this paper compares servo valve and proportion valve to control pneumatic pressure system. According to the experimental data, the neural fuzzy controller has good accuracy in pressure control in each case.