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    Comparative Performance Evaluation of Fractional Fuzzy Inference System for A High-Order System
    (Institute of Electrical and Electronics Engineers Inc., 2023) Cengiz M.; Deniz F.N.; Ozguven O.
    In this study, the effect of the Fractional Fuzzy Inference System (FFIS) on the performance of the fuzzy logic-based control system was examined, with comparisons made to both a typical fuzzy controller and a PID controller. Additionally, a Genetic Algorithm (GA) was utilized to fine-tune the universe of input and output variables for the Fuzzy Logic Controller (FLC) built with FFIS. A high-order system, in which control with classical methods is considered difficult, was chosen to be employed for the performance evaluation. As a result, it has been observed that the use of FFIS in controlling the high-order system leads to a more satisfactory control performance. This study demonstrates that FFIS has the capacity to enhance performance in fuzzy logic-based control systems and can serve as a more effective control strategy. © 2023 IEEE.
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    Implementation of pid type fuzzy logic controller with digital signal controller
    (Institute of Electrical and Electronics Engineers Inc., 2018) Ozguven O.; Can M.S.; Ethem Hamamci S.
    In this study, the real-time application of the Fuzzy Logic-Proportional-Integral-Derivative (Fuzzy-PID) controller is performed. Product-Max operator is used in the design of Fuzzy Logic Controller (FLC). This FLC has Proportional-Derivative (PD) controller structure. An integrator was added to the designed FLC output and thus a Fuzzy-PID controller structure is obtained. For the real-time implementation of the controller, the dsPIC30F4010 digital signal controller (DSC) is preferred as the processor because it contains the necessary peripherals, has the required memory capacity and processor speed, low cost and easy to design. For the easily observe application result of the designed FLC, the speed of a brushed direct current electric motor (BDCM) driven by MOSFET is controlled using Pulse Width Modulation (PWM) produced by DSC. The Fuzzy-PID controller algorithm is written in C programming language. Edited C language program is compiled and generated operation codes (OP-CODE) is loaded into the DSC. In the study, the BDCM connected to a braking system driven by a shaft belt. So, for different parameters of the controller, the real time system output graphs of the BDCM in loaded, unloaded and varying speeds conditions is obtained and evaluated. © 2018 IEEE.