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Because of the nonlinear time-varying characteristics of
electro- hydraulic servo-cylinder caused by magnetic hysteresis
of torque- motor and change of the oil''s viscosity due to the
various temperatures, and so on, it is very difficult to get
accurate mathematical transfer function from modeling process,
and all this increases the difficulty in controlling.The fuzzy
control using linguistic variables, membership function, and
its own control rules wisely avoids the hardness of modeling.
Therefore, just because the fuzzy control doesn''t need to get
mathematical models , it can be executed in various control
fields, and it works excellently.Though the fuzzy control have
solved many control problems in the very complex systems, it
doesn''t have any ability to accumulate the experiences of
control processes. In this paper, we combine the on-line
searching method with the neuro- fuzzy network theory which is
based on backpropagation method to get optimal control rule.
After working on the application of the neuro network in the
control field, we have found that appliances based on the neuro-
fuzzy control theory and on-line searching method have great
control abilities.
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