| Summary: | 碩士 === 國立成功大學 === 電機工程學系 === 86 === In this thesis, a fuzzy logic controller, called as linguistic
hedge fuzzy logiccontroller, designed by the linguistic hedges
and genetic algorithms is proposed.The linguistic hedge is a
fuzzy operation applied to adjust the membership functionsof the
fuzzy sets. If the control results fail to acquire the system
requirements, the control objective can still be achieved by
adjusting the membership functions of the fuzzy sets or the
control rules. The proposed linguistic hedge fuzzy logic
controller takes advantage of dynamically modifying the
membership functions of a ×3-rule fuzzy logic controller system
to achieve a similar performance that a 7×7-rule fuzzy logic
controller system possesses. Therefore, the computational
complexity is dramatically reduced due to the less number of
rules required. Furthermore, a modified genetic algorithm is
used to search the optimal linguistic hedge combination.
Finally, three well-known control systems ─the truck backer-
upper system, the inverted pendulum system, and the nonlinear
plant model system ─are used to demonstrate the feasibility of
the linguistic hedge fuzzy logic controller.
|
|---|
