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Название: Self-Tuning Neural Fuzzy Control the Position of a Pneumatic Cylinder Under Vertical Load
Авторы: Shih M.-C., Luor N.-L.
In the paper, a self tuning neural fuzzy controller, which normalization factors are tuning in real-time, is deve-loped and implemented in a microcomputer to control the position of a pneumatic servo cylinder under vertical load. Comparing to the conventional control, both the rise time and the steady-state errors of the system time response under the vertical load or the abnormal stop in neural learning can be improved and avoided.