WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Permanent URI for this collectionhttps://hdl.handle.net/11147/7150

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2010 - 201822

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Author: search.filters.author.Zergeroğlu, ErkanWoS Q: search.filters.wosQuartile.N/A

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Now showing 1 - 10 of 22
  • Conference Object
    Robust Control of a Rigid Link in a Cross Flow
    (Institute of Electrical and Electronics Engineers Inc., 2015) Bıdıklı, Barış; Tatlıcıoğlu, Enver; Zergeroğlu, Erkan
    Remotely operated vehicles equipped with a robotic manipulator are utilized in several underwater/deep sea applications. Control of these type of systems are mostly provided by obtaining the proper position for the end effector of robotic manipulator which constitutes the desired motion for remotely operated vehicle. This situation makes the control of robotic manipulators is really important subject for underwater applications. In this work, we study tracking control of a one degree-of-freedom rigid link in a cross flow. Systems operating at underwater (including this one) are hard to model accurately, and as a result their models include several uncertainties. To reject these modeling uncertainties and external ones, two robust controllers are proposed. Stability of the closed-loop system and the asymptotic convergence of the tracking error are proven mathematically. Numerical simulations are performed to demonstrate the viability of the proposed controller.
  • Conference Object
    Citation - WoS: 6
    Citation - Scopus: 6
    Operational/Task Space Learning Control of Robot Manipulators With Dynamical Uncertainties
    (Institute of Electrical and Electronics Engineers Inc., 2015) Doğan, K. Merve; Tatlıcıoğlu, Enver; Zergeroğlu, Erkan
    In this work, we consider the problem of operational/task space tracking control of a robot manipulator where a periodic desired end-effector pose is to be tracked. Specifically, we designed a repetitive learning controller that guarantees asymptotic end-effector tracking of periodic trajectories (with known period) while "learning" the overall uncertainties in the system dynamics. The proposed controller does not make use of the inverse kinematic formulation on the position level and the stability of the closed-loop system is guaranteed via Lyapunov based arguments. Numerical studies are conducted on a two link planar robot are presented to illustrate the performance and viability of the proposed method.
  • Conference Object
    Citation - WoS: 1
    Citation - Scopus: 1
    A Dynamic Model Free Observer Based Output Feedback Tracking Control of Robot Manipulators in Task-Space
    (Institute of Electrical and Electronics Engineers Inc., 2018) Çobanoğlu, Necati; Çetin, Kamil; Tatlıcıoğlu, Enver; Zergeroğlu, Erkan
    This paper addresses the output feedback end-effector position tracking control of robotic manipulators. Specifically, via the design of a novel dynamic model independent observer constructed through a Lyapunov type analysis and under the assumption that the manipulator Jacobian is always invertible, we propose a model based nonlinear controller which ensures asymptotic robot end-effector tracking without the need of joint and/or task space velocity measurements. Simulation results are included to illustrate the performance and effectiveness of the proposed method.
  • Conference Object
    Citation - WoS: 3
    Citation - Scopus: 4
    Neural Network Based Repetitive Learning Control of Robot Manipulators
    (Institute of Electrical and Electronics Engineers Inc., 2017) Çobanoğlu, Necati; Tatlıcıoğlu, Enver; Zergeroğlu, Erkan
    Control of robot manipulators performing periodic tasks is considered in this work. The control problem is complicated by presence of uncertainties in the robot manipulator's dynamic model. To address this restriction, a model free repetitive learning controller design is aimed. To reduce the heavy control effort, a neural network based compensation term is fused with the repetitive learning controller. The convergence of the tracking error to the origin is ensured via Lyapunov based techniques. Numerical simulations and experiments are performed to demonstrate the viability of the proposed controller.
  • Conference Object
    Citation - WoS: 2
    Citation - Scopus: 3
    On Null-Space Control of Kinematically Redundant Robot Manipulators
    (Institute of Electrical and Electronics Engineers Inc., 2016) Çetin, Kamil; Tatlıcıoğlu, Enver; Zergeroğlu, Erkan
    In this study, we consider the null-space control problem of redundant robot manipulators. Specifically for robot manipulators with kinematically redundancy where at least one extra degree of freedom is present, we introduce a sub-task controller that will ensure the use of the extra degrees of freedom for possible control purposes while still ensuring the main objective. The stability of the main (end-effector tracking) and sub-task objectives are obtained via Lyapunov based arguments. Extension to adaptive controller formulation for robotic devices with uncertain system dynamics is also presented. Numerical studies for the adaptive controller are presented to illustrate the liability of the proposed method.
  • Conference Object
    Citation - WoS: 5
    Citation - Scopus: 7
    Nonlinear Control of Tendon Driven Robot Manipulators: Elimination of Actuator Side Position Measurements
    (Institute of Electrical and Electronics Engineers Inc., 2015) Okur, Beytullah; Zergeroğlu, Erkan; Tatlıcıoğlu, Enver
    In this study, a partial state feedback controller is proposed for the link position tracking control problem of flexible tendon driven robotic systems. Specifically; a nonlinear model based controller is formulated for tendon driven robot manipulators under the constraint that only the link position and tendon expansion force measurements are available. Despite the lack of link and actuator side velocity and actuator position measurements, the proposed controller ensures exponential link position tracking. To eliminate the need of actuator position and velocity measurements, a model based velocity observer has been utilized. Stability of the closed loop system and boundedness of system states are proven via Lyapunov based arguments. The performance of the purposed observer-controller couple is then verified by a set of numerical simulations.
  • Conference Object
    Citation - WoS: 3
    Citation - Scopus: 3
    Inverse Optimal Adaptive Output Feedback Control of Euler-Lagrange Systems: a Variable Structure Observer Based Approach
    (Institute of Electrical and Electronics Engineers Inc., 2015) Aksoy, Orhan; Zergeroğlu, Erkan; Tatlıcıoğlu, Enver
    This work focuses on inverse optimal, observer based output feedback control of Euler-Lagrange systems. Specifically a variable structure observer based output feedback controller is proposed which aside from ensuring asymptotic position tracking also ensures that a positive cost function, penalizing control input performance, is minimized. Simulation studies performed on a two link planar robot manipulator are included to illustrate the overall performance and feasibility of the proposed controller. © 2015 IEEE.
  • Conference Object
    Citation - WoS: 2
    Citation - Scopus: 1
    A Self-Tuning Velocity Observer Formulation for a Class of Nonlinear Systems
    (Institute of Electrical and Electronics Engineers Inc., 2016) Bıdıklı, Barış; Tatlıcıoğlu, Enver; Zergeroğlu, Erkan
    This work presents the design and the corresponding stability analysis of a model free velocity observer formulation for nonlinear systems modeled by Euler-Lagrange formulation. The observation gains of the proposed formulation are tuned online according to an update algorithm removing the burden of observation gain tuning. Lyapunov based arguments are applied to prove the overall system stability. Performance of the observer proposed is illustrated via extensive simulation studies. Experimental studies are also utilized to demonstrate the viability of the proposed formulation.
  • Conference Object
    Citation - WoS: 3
    Citation - Scopus: 5
    Robust Control Design for Positioning of an Unactuated Surface Vessel
    (Institute of Electrical and Electronics Engineers Inc., 2015) Bıdıklı, Barış; Tatlıcıoğlu, Enver; Zergeroğlu, Erkan
    In this paper, a robust controller is designed to achieve accurate positioning of an unactuated surface vessel by using multiple unidirectional tugboats. After initially locating opposing tugboats to specific configurations, the control problem is transformed into a second order system with an uncertain non-symmetric input gain matrix. Upon applying a matrix decomposition, a robust controller is proposed. Detailed stability analysis ensured asymptotic tracking. Numerical simulation results demonstrate the efficiency of the proposed controller © 2015 IEEE.
  • Conference Object
    Citation - WoS: 6
    Citation - Scopus: 7
    Lyapunov-Based Output Feedback Learning Control of Robot Manipulators
    (Institute of Electrical and Electronics Engineers Inc., 2015) Doğan, Kadriye Merve; Tatlıcıoğlu, Enver; Zergeroğlu, Erkan; Çetin, Kamil
    This paper address the output feedback learning tracking control problem for robot manipulators with repetitive desired joint level trajectories. Specifically, an observer-based output feedback learning controller for periodic trajectories with known period have been proposed. The proposed learning controller guarantees semi-global asymptotic tracking despite the existence of parametric uncertainties associated with the robot dynamics and lack of velocity measurements. A learning-based feedforward term in conjunction with a novel observer formulation is designed to obtain the aforementioned result. The stability of the controller-observer couple is guaranteed via Lyapunov based arguments. Numerical studies performed on a two link robot manipulator are also presented to demonstrate the viability of the proposed method. © 2015 American Automatic Control Council.