Predictive-adaptive controller based on fuzzy logic control tool
El-Arini, M., El-Razaz, Z., Othman, A. (2008). Predictive-adaptive controller based on fuzzy logic control tool. EKB Journal Management System, 6(6th International Conference on Electrical Engineering ICEENG 2008), 1-14. doi: 10.21608/iceeng.2008.34510
Mahdi M. El-Arini; Zaghlol S. El-Razaz; Ahmed M. Othman. "Predictive-adaptive controller based on fuzzy logic control tool". EKB Journal Management System, 6, 6th International Conference on Electrical Engineering ICEENG 2008, 2008, 1-14. doi: 10.21608/iceeng.2008.34510
El-Arini, M., El-Razaz, Z., Othman, A. (2008). 'Predictive-adaptive controller based on fuzzy logic control tool', EKB Journal Management System, 6(6th International Conference on Electrical Engineering ICEENG 2008), pp. 1-14. doi: 10.21608/iceeng.2008.34510
El-Arini, M., El-Razaz, Z., Othman, A. Predictive-adaptive controller based on fuzzy logic control tool. EKB Journal Management System, 2008; 6(6th International Conference on Electrical Engineering ICEENG 2008): 1-14. doi: 10.21608/iceeng.2008.34510

Predictive-adaptive controller based on fuzzy logic control tool

The International Conference on Electrical Engineering
Article 141, Volume 6, 6th International Conference on Electrical Engineering ICEENG 2008, May 2008, Page 1-14  XML PDF (316.03 K)
Document Type: Original Article
DOI: 10.21608/iceeng.2008.34510
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Authors
Mahdi M. El-Arini1; Zaghlol S. El-Razaz1; Ahmed M. Othman2
1Prof., Electrical Power and Machine Department, Zagazig University.
2Assistant 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.
Keywords
Power system modeling; Power System Stabilizer; artificial intelligence; Fuzzy Logic algorithm; load forecasting and optimal control theory
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