Browsing by Author "Atan, Ö."

Now showing 1 - 3 of 3

Beam and Ball Plant System Controlling Using Intuitionistic Fuzzy Control
(Springer Science and Business Media Deutschland GmbH, 2021) Silahtar, O.; Atan, Ö.; Kutlu, F.; Castillo, O.
In this study, simplified “beam and ball (BNB) system” is controlled using “intuitionistic fuzzy control (IFC)” method. It is aimed to keep the ball on it in balance by applying DC voltage in different magnitudes to the DC motor of the system called “ball and beam plant”, which has a beam on which a DC motor is attached to the middle point and a ball moving without friction. In order to better observe the effect of this new generation controller applied to the system, parameters such as the torque of the motor, the mass of the beam and the ball, internal and external disturbance, friction etc. were ignored and the system is simplified. The position and velocity of the ball on the beam is taken as input for the controller, while the controller output is chosen as a DC voltage. After I-Fuzzification, I-Inference and I-Defuzzification process are performed in controller block, performance and efficiency of the system are discussed in terms of steady state error, setting time, maximum overshoot, chattering. © 2021, IFIP International Federation for Information Processing.
New and Improved Criteria on Qualitative Results for Functional-Differential Systems
(Cambridge Scientific Publishers, 2022) Tunc¸, O.; Sivasundaram, S.; Atan, Ö.; Tunc¸, C.
In this paper, certain systems of functional differential equations (FDEs) with multiple constant delays are considered. Using the Lyapunov Krasovskiˇi functionals (LKFs), new and improved Lyapunov-Krasovskiˇi type fundamental criteria of uniformly stability (US), uniformly asymptotically stability (UAS), integrability and boundedness of solutions are obtained, respectively. Here, four new theorems are presented as complements of some related results in the past literature. Finally, we verify our results by giving two numerical examples with plots of paths of solutions. © CSP - Cambridge, UK; I&S - Florida, USA, 2022
Rendezvous and Docking Control of Satellites Using Chaos Synchronization Method With Intuitionistic Fuzzy Sliding Mode Control
(Springer Science and Business Media Deutschland GmbH, 2023) Silahtar, O.; Kutlu, F.; Atan, Ö.; Castillo, O.
In this study, two different controllers have been designed to perform the rendezvous and docking tasks of two nonidentical and noncooperative cubic satellites. Firstly, the motion of cubic satellites was modeled with chaotic equations. After selecting suitable chaotic models, fuzzy sliding mode controller (FSMC) and a new intuitionistic fuzzy sliding mode controller (IFSMC), which are applied to synchronization systems under the same initial conditions, have been designed. It has been observed that both synchronizations reach stability by applying the controllers designed by considering the Lyapunov stability criteria. After a while, a short-term and random disturbance was applied to the synchronization systems and the response of both controllers was observed. The numerical results showed that the synchronization system with both controllers was stable, robust, efficient, fast and chattering-free. However, synchronization system with IFSMC was found to be more robust, faster and more efficient than synchronization system with FSMC. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.