Browsing by Author "Can, SV"

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    Vibration and dynamic stability analysis of curved beam with suspended spring-mass systems
    Can, SV; Cankaya, P; Ozturk, H; Sabuncu, M
    In this study, in-plane natural frequencies and the dynamic stability of a curved beam subjected to a uniformly distributed periodic axial load with suspended spring-mass systems are investigated by using the FEM. The natural frequency results obtained from the developed FE code are compared with the ANSYS model results to verify the accuracy of the present model. The effect of the stiffness coefficients, the position of the spring-mass system, static and dynamic load parameters on the natural frequencies and the dynamic instability regions are investigated for a various subtended angle. The results are presented by tables and graphics.
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    Hybrid passive vibration control of lightweight manipulators
    Malgaca, L; Can, SV
    Passive vibration control methods in the literature are known to be highly sensitive to dynamic system parameters and are generally applied one by one. Therefore, their effectiveness in suppressing vibration control is limited. In this work, hybrid passive control (HPC) by integrating the Posicast control (PC) and the motion parameters-based control (MPC) is developed to suppress the during-motion vibrations (DMV) and residual vibrations (RV) of a single-link lightweight manipulator with a payload. PC is designed as a three-step cycle using the first natural frequency and damping ratio of the manipulator. MPC is designed by determining the time parameters of the motion profiles based on the first natural frequency of the manipulator. HPC simulations are performed on MATLAB, creating a Simscape model of the manipulator. Then, the proposed control method is tested in experiments. The prepared hybrid motion inputs actuate the servomotor while the displacements are measured, using a laser sensor at the tip of the manipulator. DMV and RV responses and their RMS values reveal that suppressing the vibration amplitudes efficiently. MPC is mostly effective in eliminating RV, whereas PC is sensitive to DMV as well. HPC combines these methods by eliminating their disadvantages and highlighting their advantages. Moreover, it is also successful in cases where the deceleration time of the trapezoidal input signal is single times half of the natural period, unlike MPC.