WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
Permanent URI for this collectionhttps://hdl.handle.net/11147/7150
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Conference Object Citation - Scopus: 5Adaptive Visual Servo Regulation Control for Camera-In Configuration With a Fixed Camera Extension(Institute of Electrical and Electronics Engineers Inc., 2007) Tatlıcıoğlu, Enver; Dawson, Darren M.; Xian, B.In this paper, image-based regulation control of a robot manipulator with an uncalibrated vision system is discussed. To compensate for the unknown camera calibration parameters, a novel prediction error formulation is presented. To achieve the control objectives, a Lyapunov-based adaptive control strategy is employed. The control development for the camera-in-hand problem is presented in detail and a fixed-camera problem is included as an extension.Conference Object Citation - WoS: 15Citation - Scopus: 20Adaptive Control of Redundant Robot Manipulators With Sub-Task Objectives [proceedings Paper](Institute of Electrical and Electronics Engineers Inc., 2008) Tatlıcıoğlu, Enver; Braganza, David; Burg, Timothy C.; Dawson, Darren M.In this paper, adaptive control of kinematically redundant robot manipulators is considered. An end-effector tracking controller is designed and the manipulator's kinematic redundancy is utilized to integrate a general sub-task controller for self-motion control. The control objectives are achieved by designing a feedback linearizing controller that includes a least-squares estimation algorithm to compensate for the parametric uncertainties.Conference Object İha'lar için Gürbüz Takip Denetçisi(Institute of Electrical and Electronics Engineers Inc., 2013) Tanyer, İlker; Tatlıcıoğlu, Enver; Zergeroǧlu, ErkanIn this study, a nonlinear control technique that guarantee exponential output tracking for unmanned aerial vehicles subject to uncertainties in system dynamics and additive nonlinear disturbances is developed. In the literature, dynamic inversion method which is a nonlinear control technique commonly used within the aerospace community to replace aircraft dynamics with a reference model. Dynamic inversion and robust control methods were usually utilized together to compensate for the uncertainties and ensure output tracking. Review of the literature highlights the fact that, in previous works, estimate of the uncertain system matrices was used in the controller design. In our study, we removed the requirement for the estimate of the uncertain system matrices and yet still guarantee exponential tracking of a reference model.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, ErkanRemotely 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: 2Citation - Scopus: 2Continuous Robust Task-Space Tracking Control of Robotic Manipulators With Uncertain Dynamics(Institute of Electrical and Electronics Engineers Inc., 2015) Cetin, K.; Tatlicioglu, E.; Zergeroglu, E.In this work, the problem of robust task space control of robotic manipulators with continuous control inputs have been considered. Under mild assumptions on kinematic formulation and dynamics of the robot manipulator, a continuous robust controller have been proposed. The proposed controller ensures asymptotic end-effector tracking despite the presence of unstructured uncertainties associated with the dynamical terms. Numerical simulations conducted on a two degree-of-freedom robot manipulator is also presented to illustrate the feasibility and performance of the proposed controller. © 2015 IEEE.Conference Object Citation - WoS: 6Citation - Scopus: 6Operational/Task Space Learning Control of Robot Manipulators With Dynamical Uncertainties(Institute of Electrical and Electronics Engineers Inc., 2015) Doğan, K. Merve; Tatlıcıoğlu, Enver; Zergeroğlu, ErkanIn 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 A New Continuous Velocity Observer Formulation for a Class of Uncertain Nonlinear Mechanical Systems(Institute of Electrical and Electronics Engineers, 2015) Bayrak, Alper; Tatlıcıoğlu, Enver; Zergeroǧlu, Erkan; Deniz, MeryemIn this study, we present a smooth robust velocity observer for a class of uncertain nonlinear mechanical systems. The smoothness of the observers is guaranteed by utilizing hyperbolic tangent function as opposed to signum-type functions applied in most robust and sliding mode observers found in the literature. The proposed observer does not require a priori knowledge of an upper bound of the uncertain system dynamics and introduces a time-varying observer gain for uncertainty compensation. Practical stability of the observer error is ensured via Lyapunov-type stability analysis. Numerical simulation studies backed up by experimental results are presented to illustrate the performance of the proposed observer.Conference Object Citation - WoS: 4Citation - Scopus: 5Backstepping Control of Electro-Hydraulic Arm(Institute of Electrical and Electronics Engineers, 2018) Bayrak, Alper; Tatlıcıoğlu, Enver; Zergeroǧlu, ErkanIn this study, positioning control of the electro hydraulic systems is considered. Backstepping control strategy is designed by defining an auxiliary error signal. The performance of the controller is investigated by conducting numerical simulations. From the simulation results, it is seen that the control objective achieved successfully. The performance is compared with PI controller via a comparison criteria and it is seen that the backstepping controller has better results in both error and controller performance aspects.Conference Object Citation - WoS: 1Citation - Scopus: 1A 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, ErkanThis 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: 3Citation - Scopus: 4Neural Network Based Repetitive Learning Control of Robot Manipulators(Institute of Electrical and Electronics Engineers Inc., 2017) Çobanoğlu, Necati; Tatlıcıoğlu, Enver; Zergeroğlu, ErkanControl 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.