Yazar "Botsali F.M." seçeneğine göre listele

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    Application of adaptive neural network based interval type-2 fuzzy logic control on a nonlinear system
    (2011) Önen Ü.; Kalyoncu M.; Tinkir M.; Botsali F.M.
    In this study, four adaptive neural network based fuzzy logic controllers (ANNFL) are designed and used as two controllers in terms of interval type-2 fuzzy logic control. The new controllers are called as adaptive neural network based interval type-2 fuzzy logic controller (ANNIT2FL) and applied to a rigid-flexible robot manipulator. Initially dynamic model of the manipulator is obtained by using Lagrange equations and assumed modes method. ANNFL controllers are used for tracking and vibration control of system. The training and testing data of ANNFLs are obtained from the conventional PD control of the manipulator system. The performances of four ANFLCs are tested for different type and different number of membership functions and combined to create two ANNIT2FL controllers. Finally simulation results are obtained according to rotation and vibration control performances of ANNIT2FL controllers. Results demonstrate the remarkable performance of the proposed control technique. © 2011 IEEE.
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    Competition of fuzzy logic controllers applied on flexible manipulator
    (2011) Tinkir M.; Kalyoncu M.; Önen Ü.; Botsali F.M.
    This paper presents the performances of different type fuzzy logic controllers which are adaptive neural-network based fuzzy logic (ANNFL) controller, hierarchical adaptive neural-network based fuzzy logic (HANNFL) controller and adaptive neural-network based interval type2 fuzzy logic (ANNIT2FL) controller. ANNFL, HANNFL and ANNIT2FL controllers are applied on flexible manipulator for both position and tip deflection control to learn which one satisfy us with it's performance according to desired goals. The performances of the proposed controllers are evaluated on the basis of the experimental results. © 2011 IEEE.
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    PID control of inverted pendulum using adams and matlab co-simulation
    (Association for Computing Machinery, 2016) Çakan A.; Botsali F.M.; Tinkir M.
    This research is aimed at developing a multi-body simulation model and control of an inverted pendulum. A virtual prototype of the inverted pendulum is built by using MSC Adams software and the plant model is exported to MATLAB. It is co-simulated in both MATLAB and MSC Adams softwares together. Proportional-integral-derivative (PID) controller is designed and implemented in order to use in pendulum angle control simulations. The modelling and control results shows that the Proportional-integral-derivative (PID) controller can successfully achieve pendulum angle control of the inverted pendulum. Controlled pendulum angle results are simulated and given in the form of the graphics. © 2016 ACM.