Predictive-adaptive controller based on fuzzy logic control tool

Document Type : Original Article

Authors

1 Prof., Electrical Power and Machine Department, Zagazig University.

2 Assistant Lecturer, Electrical Power and Machine Dept., Zagazig University.

Abstract

Abstract:
T his paper presents an extremely innovated controller which depends on
generating controller gains for the power system to enhance the stability of the
system. The controller has more than one option to integrate the required task.
Firstly it can be combined with load forecast program which out load duration
curve to supply the controller with the predicated loading conditions to make the
controller predictive.
The second, the controller is adaptive where it based on Fuzzy Logic (FL)
algorithm to have all advantages of Artificial Intelligence (AI) in form of Fuzzy
Logic (FL). The conventional programming control using optimal controller
theory also is considered as stage inside the proposed controller to generate
automatically the input-output patterns of fuzzy controller. The controller is
applied on single machine system with wide range of machine modeling order
and on multi-machine system to show the capability of the controller in
enhancing the stability compared with the conventional controller.

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