Electrical - Electronic Engineering / Elektrik - Elektronik Mühendisliği

Permanent URI for this collectionhttps://hdl.handle.net/11147/11

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Author: search.filters.author.Zergeroğlu, ErkanPublisher: search.filters.publisher.Institute of Electrical and Electronics Engineers Inc.

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Now showing 1 - 10 of 18
  • 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; Tatlıcıoğlu, Enver; Tatlıcıoğlu, Enver; Zergeroğlu, Erkan; 03.05. Department of Electrical and Electronics Engineering; 03. Faculty of Engineering; 01. Izmir Institute of Technology
    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; Tatlıcıoğlu, Enver; 03.05. Department of Electrical and Electronics Engineering; 03. Faculty of Engineering; 01. Izmir Institute of Technology
    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; 03.05. Department of Electrical and Electronics Engineering; 03. Faculty of Engineering; 01. Izmir Institute of Technology
    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; Tatlıcıoğlu, Enver; Tatlıcıoğlu, Enver; 03.05. Department of Electrical and Electronics Engineering; 03. Faculty of Engineering; 01. Izmir Institute of Technology
    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; Tatlıcıoğlu, Enver; Zergeroğlu, Erkan; Tatlıcıoğlu, Enver; 03.05. Department of Electrical and Electronics Engineering; 03. Faculty of Engineering; 01. Izmir Institute of Technology
    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; 03.05. Department of Electrical and Electronics Engineering; 03. Faculty of Engineering; 01. Izmir Institute of Technology
    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; 03.05. Department of Electrical and Electronics Engineering; 03. Faculty of Engineering; 01. Izmir Institute of Technology
    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; Tatlıcıoğlu, Enver; Çetin, Kamil; 03.05. Department of Electrical and Electronics Engineering; 03. Faculty of Engineering; 01. Izmir Institute of Technology
    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.
  • Conference Object
    Citation - WoS: 2
    Citation - Scopus: 2
    Nonlinear Adaptive Partial State Feedback Trajectory Tracking Control of Tendon Driven Robot Manipulators
    (Institute of Electrical and Electronics Engineers Inc., 2014) Okur, Beytullah; Tatlıcıoğlu, Enver; Zergeroğlu, Erkan; Tatlıcıoğlu, Enver; Aksoy, Orhan; 03.05. Department of Electrical and Electronics Engineering; 03. Faculty of Engineering; 01. Izmir Institute of Technology
    In this work, the link position tracking control problem of a tendon driven robotic system is studied in the presence of parametric uncertainty and lack of velocity measurements both of links and actuators. A partial state feedback nonlinear adaptive controller is proposed to deal with the unmeasurable states and uncertain dynamical system parameters. A backstepping approach has been utilized to develop the control strategy. The proposed nonlinear tracking controller utilizes online update laws to adapt for parametric uncertainties, and requires only link and actuator position measurements and tendon tension measurements. Need for link velocity measurements are eliminated by using a nonlinear filter, and a set of linear filters is designed to estimate the actuator velocities. Lyapunov based arguments have been applied to prove the stability of the closed-loop system and semi-global asymptotic link position tracking is achieved. © 2014 IEEE.
  • Conference Object
    Citation - WoS: 23
    Citation - Scopus: 23
    A self tuning RISE controller formulation
    (Institute of Electrical and Electronics Engineers Inc., 2014) Bıdıklı, Barış; Tatlıcıoğlu, Enver; Tatlıcıoğlu, Enver; 03.05. Department of Electrical and Electronics Engineering; 03. Faculty of Engineering; 01. Izmir Institute of Technology
    In recent years, controller formulations using robust integral of sign of error (RISE) type feedback have been successfully applied to a variety of nonlinear dynamical systems. The drawback of these type of controllers however, are (i) the need of prior knowledge of the upper bounds of the system uncertainties and (ii) the absence of a proper gain tuning methodology. To tackle the aforementioned weaknesses, in our previous work [1] we have presented a RISE formulation with a time-varying compensation gain to cope for the need of upper bound of the uncertain system. In this study, we have extended our previous design to obtain a fully self tuning RISE feedback formulation. Lyapunov based arguments are applied to prove overall system stability and extensive numerical simulation studies are presented to illustrate the performance of the proposed method. © 2014 American Automatic Control Council.