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.