Fuzzy controller design for parametric controllers
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In this thesis, fuzzy logic controller (FLC) design for tuning some parametric controller is investigated. The objective in designing an FLC is to determine the rule bcise of the system and the data base which includes membership functions, set operations, and inference engine. Two designs have been realized using heuristic rule generation; one for a PID controller and one for a lead-lag type controller. The FTCs in these designs set the parcimeters of the PID and leadlag controller on-line. The rules and the corresponding membership functions are constructed by observing the effect of the changes of the parameters on the overall performance. One other design is performed using the desired inputoutput data pairs. In this design Fuzzy c-Means clustering algorithm is used to e.xtract the rules and the membership functions from the input-output data of the system. Simulation results showed that better controller performance can be cichieved by FLCs in comparison with the classical design methods.
fuzzy logic controllers
fuzzy c-means clustering algorithm
QA9.64 .A34 1996
Intelligent control systems.