Yazar "Muhurcu, Aydin" seçeneğine göre listele

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    Öğe
    A novel application for DC motor-generator cascade system by changing signal density of digital chaotic oscillator
    (Yildiz Technical Univ, 2023) Kose, Ercan; Muhurcu, Aydin; Coskun, Serdar
    Presented is a new method for the realization of a chaotic oscillator in a digital environment. First, a two-stroke sampling mathematical regulation is developed for discrete-time oscillator equations to change signal densities of chaotic signals. This proposed mathematical regulation is applied to Lorenz's chaotic oscillator, which presents a complex dynamical behavior. An application is shown with simulation through a Matlab-Simulink environment with time-de-pendent density changes of x, y and z 1 - D graphics and x, y 2 - D phase space graphics that are dependent on different density changes. Further to this, in an experimental study, Lorenz's chaotic oscillator's signals with variable density is applied to a DC motor as armature voltage via an 8-bit microcontroller based hardware environment. Chaotic supply voltage is applied to the motor rotor to generate a chaotic angular velocity. Time-dependent density change results of x, y and z 1 - D graphics are obtained and shown on an oscilloscope by converting chaotic rotor angular velocity to electrical signals, through a tacho-generator. The observed results re-vealed that chaotic signal production with variable density is achieved both in the simulation environment and the experimental environment. Also, it is shown that the proposed program and mathematical equations are feasible in terms of hardware and software implementations.
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    Öğe
    Comparative Controlling of the Lorenz Chaotic System Using the SMC and APP Methods
    (Hindawi Ltd, 2018) Kose, Ercan; Muhurcu, Aydin
    The Lorenz chaotic system is based on a nonlinear behavior and this causes the system to be unstable. Therefore, two different controller models were developed and named as the adaptive pole placement and sliding mode control (SMC) methods for the establishment of continuous time nonlinear Lorenz chaotic system. In order to achieve this, an improved controller structure was developed first theoretically for both the controller methods and then tested practically using the numerical samples. During the establishment of adaptive pole placement method for the Lorenz chaotic system, various stages were applied. The nonlinear chaotic system was also linearized by means of Taylor Series expansion processes. In addition, the feedback matrix of the adaptive pole placement method was determined using linear Jacobian matrix. The chaotic system reached an equilibrium point by using both the SMC and adaptive pole placement methods; however the simulation results of the SMC had better success than adaptive pole placement control technique.
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    Öğe
    The Control of Brushless DC Motor for Electric Vehicle by Using Chaotic Synchronization Method
    (Natl Inst R&D Informatics-Ici, 2018) Kose, Ercan; Muhurcu, Aydin
    Brushless DC motor (BLDC) used in electric vehicles can be operated in normal weather conditions and on straight roads, with chaotic dynamics of BLDC motor and high efficiency at a certain stable point. The dynamics of the BLDC motor applied on the electric car can be constantly changed according to the road conditions and wind speed. In this study, chaotic synchronization methods were developed to convert the BLDC motor into the desired reference chaotic dynamics. Synchronization method is developed based on sliding mode control (SMC), PI control and adaptive control methods. The artificial bee colony algorithm has been used to calculate the optimal values of the Kp and Ki coefficients of the PI controller. The numerical simulation results showing the performances of the controllers were obtained in MATLAB-Simulink environment. In order to better compare the performance of the controllers, the error performance indices have been provided according to these three control methods. All the three methods have shown that the chaotic based BLDC motor can be controlled, but sliding mode control method has proved to be a better performer.