Description: a design methodology is introduced that
blends the classical PID and the fuzzy controllers in an
intelligent way and thus a new intelligent hybrid
controller has been achieved. Basically, in this design
methodology, the classical PID and fuzzy controller
have been combined by a blending mechanism that
depends on a certain function of actuating error.
Moreover, an intelligent switching scheme is induced
on the blending mechanism that makes a decision upon
the priority of the two controller parts namely, the
classical PID and the fuzzy constituents. The
simulations done on various processes using the new
hybrid fuzzy PID controller provides ‘better’ system
responses in terms of transient and steady-state
performances when compared to the pure classical PID
or the pure fuzzy controller applications. The controller
parameters are all tuned by the aid of genetic search
algorithm.-a design methodology is introduced that
blends the classical PID and the fuzzy controllers in an
intelligent way and thus a new intelligent hybrid
controller has been achieved. Basically, in this design
methodology, the classical PID and fuzzy controller
have been combined by a blending mechanism that
depends on a certain function of actuating error.
Moreover, an intelligent switching scheme is induced
on the blending mechanism that makes a decision upon
the priority of the two controller parts namely, the
classical PID and the fuzzy constituents. The
simulations done on various processes using the new
hybrid fuzzy PID controller provides ‘better’ system
responses in terms of transient and steady-state
performances when compared to the pure classical PID
or the pure fuzzy controller applications. The controller
parameters are all tuned by the aid of genetic search
algorithm. Platform: |
Size: 258048 |
Author:mohaideen |
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Search - comparison between piecewise linear PID-like fuzz