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AUTHOR(S): M. H. Saleh, Eman Serag, Tarek Anwar, Mohamed Adel Mandour, Mohamed Abdel Azzem
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TITLE A Fuzzy Controller for a Dynamically Multivariable Nonlinear Coupling System |
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ABSTRACT This paper presents a novel methodology for designing an fuzzy controller for a dynamically multivariable nonlinear coupling system. One controller with constant gain for different operating points may not be sufficient to guarantee satisfactory performance for Interconnected Power System "IPS". Therefore, the knowledge-based fuzzy controller is proposed either to cope with the operating conditions or to remove any fixed mode. The fuzzy logic control utilizes the error and the change of error as fuzzy linguistic inputs to regulate the system performance. The proposed programs have been developed to simulate the dynamic behavior of the IPS. The new controller uses only the available information of the input-output for controlling the frequency deviation and the tie line performance. The objective of the Load Frequency Control (LFC) is to maintain the scheduled frequency and scheduled tie-line power in a normal mode of operation, during the small perturbation in operating conditions. |
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KEYWORDS Fuzzy Logic Control “FLC”, Load Frequency Control “ LFC”. Area Control Error “ ACE”. Interconnected Power System “IPS”, MATLAB Simulink |
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Cite this paper M. H. Saleh, Eman Serag, Tarek Anwar, Mohamed Adel Mandour, Mohamed Abdel Azzem. (2023) A Fuzzy Controller for a Dynamically Multivariable Nonlinear Coupling System. International Journal of Control Systems and Robotics, 8, 6-10 |
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