Loading...
Search for: robotic-manipulators
0.004 seconds
Total 48 records

    Optimum Counterweight Balancing of a (3-RPS)Robot in Dynamic Motion

    , M.Sc. Thesis Sharif University of Technology Javaherchi, Hossein (Author) ; Ghaemi Osgouie, Kambiz (Supervisor) ; Khayyat, Amir Ali Akbar (Co-Advisor)
    Abstract
    In this thesis, Optimum Counterweight and Spring Balancing of a novel kind of mechanism called a general 3-RPS parallel robot in Dynamic Motion are investigated. Balancing is explained as the set of configurations on robot inertial and dimensional parameters which, when convinced, certify that the weight of the links produce less force at the actuators for any configuration of the robot, under dynamic or static behaviors. In the references, different procedures have been suggested for balancing that consisted of counterweights, springs, and other auxiliary equipments. Study represents the essential information for having optimum spring and counterweight balancing in a new (3RPS) robot using... 

    Fuzzy-based interaction prediction approach for hierarchical control of large-scale systems

    , Article Fuzzy Sets and Systems ; Volume 329 , 2017 , Pages 127-152 ; 01650114 (ISSN) Emamzadeh, M. M ; Sadati, N ; Gruver, W. A ; Sharif University of Technology
    Abstract
    This paper presents a fuzzy-based interaction prediction approach (F-IPA) for two-level optimal control of large-scale systems. The design procedure uses a decomposition/coordination framework of hierarchical structures. At the first level, the system is decomposed into subsystems for which subproblems are formed. At the second level, a fuzzy coordinator is used to predict the coordination parameters needed to coordinate the solutions of the first level subproblems. The fuzzy coordinator uses a critic vector to evaluate its performance and learn its parameters by minimizing an energy function. The proposed control scheme is implemented on a two-degrees-of-freedom (2DOF) model of robot... 

    An optimization-based approach to control of robotic manipulators

    , Article Proceedings - IEEE International Conference on Robotics and Automation, 12 May 2009 through 17 May 2009, Kobe ; 2009 , Pages 3347-3352 ; 10504729 (ISSN); 9781424427895 (ISBN) Mohajerin Esfahani, P ; Karimi-Ghartemani, M ; Namvar, M ; Sharif University of Technology
    2009
    Abstract
    This paper proposes a method to suboptimally tune the control parameters in a conventional Lyapunov-Based method which shares the same concept of control design with sliding mode approach as applied to the robot manipulators. Optimal tuning of such parameters involves handling of nonlinearities in system dynamics and cost functions, which makes the problem challenging. We propose a step-by-step numerical algorithm that select suboptimal parameters while ensuring system stability. The controller is, suboptimal due to the facts that (1) it is in the form of a Slotine-type sliding mode control, (2) the numerical recursive algorithm might fall into a local minimum, and (3) the controller... 

    Trajectory Planning of a Spider Robot Considering Obstacle Avoidance

    , M.Sc. Thesis Sharif University of Technology Ahmadi Aras, Asila (Author) ; Ghaemi Osgouie, Kambiz (Supervisor) ; Khayyat, Amir Ali Akbar (Supervisor)
    Abstract
    Legged walking and climbing robots have recently achieved important results and developments, but they still need further improvements and study. The spider modeled as an eight-legged system. Legged robots have a body and a number of articulated legs which originate from the body and are put on the ground to hold robot’s weight or are swinging in the air to their new position. Each leg as a kinematic chain can be viewed as a manipulator that acts like a limb and contributes to the overall position and equilibrium of the structure. In order to evaluate and create an effective legged robot, the idea is to draw inspiration from nature. Spider robots present very good performances in terms of... 

    Decentralized Control of Robot Manipulators

    , M.Sc. Thesis Sharif University of Technology Yazdi Almodarresi, Mostafa (Author) ; Namvar, Mehrzad (Supervisor)
    Abstract
    In this thesis, a decentralized controller for trajectory tracking of robot manipulators is developed. Proposed control scheme use uncalibrated joint torque sensors. Recently, it has been shown that the use of joint torque sensing results in a simplified manipulator model and reduce the need of dynamic model of links for controlling. In this thesis, we use the special lower triangular structure of this simplified model for decentralized control of manipulator. For the first time a smooth decentralized law is designed which makes both position and velocity tracking errors of robot manipulators globally converge to zero. Against most of previous work in decentralized control of manipulators,... 

    Fault Detection and Identification in Robotic Systems

    , M.Sc. Thesis Sharif University of Technology Baghbahari, Masoud (Author) ; Namvar, Mehrzad (Supervisor)
    Abstract
    Fault detection and identification is one of the major issues and challenges in the field of engineering and currently is considered as an active field of research. As the replacement of human in dangerous or inaccessible environments, robotic mechanical systems can be used which exposes to a variety of stresses and actions that causes faults in the actuators or sensors. Accordingly, detection of fault at the earliest possible time after the fault accurence and its identification such that real flaw waveform is being extracted, can prevent more damage to the system without any need to human immediate interference. Model based approach in recent decades has shown their ability to detection... 

    Integrated Design of a Rigid Manipulator and its time Optimal Trajectory for Point to Point Motion

    , M.Sc. Thesis Sharif University of Technology Nasrollahnezhad, Saeed (Author) ; Zohoor, Hassan (Supervisor)
    Abstract
    The problem of point to point repetitive time reduction for the rigid manipulators is a major case in industry especially for applications such as point to point welding and part manipulation. These motions are usually repeated for a large numbers of cycles, so that even a minor economization in time can be hugely significant. Nowadays, the time optimal control problem of manipulator with completed theory, is an appropriate solution of the problem. In recent years, with the expansion of design space to structure design, more satisfactory results can be obtained using this method.
    Optimal balancing is a new approach based on the optimal control theory in which the balancing unknowns plus... 

    Design of Globally Convergent Observers for Robotic Systems

    , M.Sc. Thesis Sharif University of Technology Lotfi Yagin, Nima (Author) ; Namvar, Mehrzad (Supervisor) ; Mobed, Mohammad (Supervisor)
    Abstract
    In a typical rigid robot manipulator, joint angels and velocities are often considered as system states. Joint angels are usually measured by precise Shaft Encoders. However, lack of velocity measurement sensors “Tachometers” and their undesired characteristics in most of existing robotic systems make it difficult to have access to full system states. As full access to the system states in various applications is inevitable, velocity observers can be used to reconstruct or estimate the unmeasured velocity signals. This thesis presents an observer for global estimation of joint velocities in robot manipulators. A non-minimal model of a robotic manipulator is introduced to design an... 

    Manipulability analysis for gimbal driven robotic arms

    , Article 2009 IEEE International Conference on Robotics and Biomimetics, ROBIO 2009, 19 December 2009 through 23 December 2009 ; 2009 , Pages 1039-1044 ; 9781424447756 (ISBN) Mohammadi, F ; Hemmatian, I ; Ghaem Osgouie, K ; Sharif University of Technology
    Abstract
    Gimbal transmissions are non-linear direct transmissions and can be used in robotic arms replacing the traditional revolute joints. To investigate manipulability of robotic manipulators, the classical criterion of Manipulability Ellipsoid has been formulated. Thus by keeping a constant norm for robot joint torques vector, the effects of replacing some traditional revolute joints in robotic arms with Gimbal transmissions, have been analyzed. The results show that the magnitude of the maximum force applicable when employing Gimbal transmission can be considerably larger. Also, the joint angles in which this maximum occurs, can be adjusted, thanks to the behavior of Gimbal transmission. Two... 

    A geometric approach to fault detection and isolation in robotic manipulators

    , Article Proceedings of the IEEE Conference on Decision and Control, 17 December 2018 through 19 December 2018 ; Volume 2018-December , 2019 , Pages 391-396 ; 07431546 (ISSN); 9781538613955 (ISBN) Karami, S ; Namvar, M ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2019
    Abstract
    We present a geometric approach for fault detection and isolation (FDI) in robotic manipulators in presence of model uncertainty. A systematic procedure is introduced for representing robotic system model being affine with respect to faults and disturbances. The proposed residual generator has smooth dynamics with freely selectable functions and it does not require high gains or threshold adjustment for the FDI purpose. No assumption on amplitude of faults and their rate is used. The solvability conditions for the FDI problem lead to a quotient observable subspace unaffected by all unknown inputs except the faults. Simulation example demonstrates localization of faults in presence of... 

    A novel fuzzy reinforcement learning approach in two-level intelligent control of 3-DOF robot manipulators

    , Article 2007 IEEE Symposium on Approximate Dynamic Programming and Reinforcement Learning, ADPRL 2007, Honolulu, HI, 1 April 2007 through 5 April 2007 ; 2007 , Pages 20-25 ; 1424407060 (ISBN); 9781424407064 (ISBN) Mollaie Emamzadeh, M ; Sadati, N ; Sharif University of Technology
    2007
    Abstract
    In this paper, a fuzzy coordination method based on Interaction Prediction Principle (IPP) and Reinforcement Learning is presented for the optimal control of robot manipulators with three degrees-of-freedom. For this purpose, the robot manipulator is considered as a two-level large-scale system where in the first level, the robot manipulator is decomposed into several subsystems. In the second level, a fuzzy interaction prediction system is introduced for coordination of the overall system where a critic vector is also used for evaluating its performance. The simulation results on using the proposed novel approach ,for optimal control of robot manipulators show its effectiveness and... 

    Optimal control of robot manipulators with a new two-level gradient-based approach

    , Article Electrical Engineering ; Volume 88, Issue 5 , 2006 , Pages 383-393 ; 09487921 (ISSN) Sadati, N ; Babazadeh, A ; Sharif University of Technology
    2006
    Abstract
    In this paper, a new approach for optimal control of robot manipulators is presented. For this purpose, the system is considered as a two-level large-scale system where a gradient-based coordination strategy is used to coordinate the overall system. This is achieved within a decomposition-coordination framework, where the robot manipulator is first decomposed into several sub-systems at the first level, and then, the coordination is done at the second level. The solution is based on Interaction Prediction Principle, where in the first level, the optimization is done by a gradient method and in the second level, the coordination is done by a new method based on the gradient of interaction... 

    Adaptive multi-model CMAC-based supervisory control for uncertain MIMO systems

    , Article ICTAI 2005: 17th IEEE International Conference on Tools with Artificial Intelligence, ICTAI'05, Hong Kong, 14 November 2005 through 16 November 2005 ; Volume 2005 , 2005 , Pages 457-461 ; 10823409 (ISSN); 0769524885 (ISBN); 9780769524887 (ISBN) Sadati, N ; Bagherpour, M ; Ghadami, R ; Sharif University of Technology
    2005
    Abstract
    In this paper, an adaptive multi-model CMAC-based controller (AMCBC) in conjunction with a supervisory controller is developed for uncertain nonlinear MIMO systems. AMCBC is a kind of adaptive feedback linearizing controller where nonlinearity terms are approximated with multiple CMAC neural networks With the help of a supervisory controller, the resulting close-loop system is globally stable. The proposed control system is applied to control a robotic manipulators, where some varying tasks are repeated but information on the load is not defined; it is unknown and varying. It is shown how the proposed controller is effective because of its capability to memorize the control skill for each... 

    Adaptive fuzzy decentralized control of robot manipulators

    , Article ICIECA 2005: International Conference on Industrial Electronics and Control Applications 2005, Quito, 29 November 2005 through 2 December 2005 ; Volume 2005 , 2005 ; 0780394194 (ISBN); 9780780394193 (ISBN) Sadati, N ; Elhamifar, E ; Sharif University of Technology
    IEEE Computer Society  2005
    Abstract
    In this paper an adaptive fuzzy decentralized control algorithm for trajectory tracking of robot manipulators is developed. The proposed decentralized control algorithm allows the overall closed-loop system to be stabilized while making the tracking error to be uniformly ultimately bounded (UUB), without having any prior knowledge of the robot manipulator dynamics. The interconnections in the dynamic equations of each subsystem are considered with unknown nonlinear bounds. The adaptive fuzzy neural networks (AFNNs) are proposed to model the unknown nonlinear dynamics of the robots and the interconnection terms. Using Lyapunov method, the stability of the overall system is investigated. ©... 

    An adaptive neural network sliding mode controller for robotic manipulators

    , Article 2005 IEEE International Conference on Industrial Technology, ICIT 2005, Hong Kong, 14 December 2005 through 17 December 2005 ; Volume 2005 , 2005 , Pages 1246-1251 ; 0780394844 (ISBN); 9780780394841 (ISBN) Sadati, N ; Ghadami, R ; Bagherpour, M ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2005
    Abstract
    In this paper, an adaptive neural network sliding mode controller (ANNSMC) for robotic manipulators is proposed to alleviate the problems met in practical implementation using classical sliding mode controllers. The chattering phenomenon is eliminated by substituting single-input single-output radial-basis-function neural networks (RBFNN's), which are nonlinear and continuous, in lieu of the discontinuous part of the control signals present in classical forms. The weights of the hidden layer of the RBFNN's are updated in an online manner to compensate the system uncertainties. The key feature of this scheme is that prior knowledge of the system uncertainties is not required to guarantee the... 

    A globally convergent observer for velocity estimation in robotic manipulators with uncertain dynamics

    , Article Proceedings - IEEE International Conference on Robotics and Automation, 3 May 2010 through 7 May 2010, Anchorage, AK ; 2010 , Pages 4645-4650 ; 10504729 (ISSN) ; 9781424450381 (ISBN) Lotfi, N ; Namvar, M ; Sharif University of Technology
    2010
    Abstract
    We present a method for global estimation of joint velocities in robot manipulators. A non-minimal model of a robotic manipulator is used to design an adaptive observer capable of handling uncertainties in robot dynamics. Dimension of the proposed observer is shown to be at least 3n where n stands for the manipulator degrees of freedom. This number is less than the dimension of most of existing globally convergent adaptive observers. Global asymptotic convergence of system state estimates to their true values is achieved under no persistency of excitation condition. Smoothness of the dynamics of the proposed observer allows its easy implementation in comparison with non-smooth observers.... 

    A class of globally convergent velocity observers for robotic manipulators

    , Article IEEE Transactions on Automatic Control ; Volume 54, Issue 8 , 2009 , Pages 1956-1961 ; 00189286 (ISSN) Namvar, M ; Sharif University of Technology
    2009
    Abstract
    We present a method for global estimation of joint velocities in rigid manipulators. A class of velocity observers with smooth dynamics are introduced whose structure depend on freely selectable functions and gains giving the flexibility of achieving multiple design objectives at the same time. Unlike most methods, no a priori knowledge of an upper bound for velocity magnitude is used. An adaptive version of the observer is also presented to handle a class of structured uncertainties in manipulator model. Simulation example illustrates low noise sensitivity of the globally convergent observer in comparison with semi-globally convergent observers. © 2009 IEEE  

    Genetic algorithm based optimization for dual-arm cam-lock robot configuration

    , Article 2007 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM, Zurich, 4 September 2007 through 7 September 2007 ; December , 2007 ; 1424412641 (ISBN); 9781424412648 (ISBN) Ghasemi Osgouie, K ; Meghdari, A ; Sohrabpour, S ; Salmani Jelodar, M ; Sharif University of Technology
    2007
    Abstract
    Cooperative systems have been extensively investigated in literature. Herein the criteria and implementation for finding the optimal configuration of the Dual-Arm Cam-Lock (DACL) robot manipulators at a specific point with the objective to optimize the applicable task-space force in a desired direction are addressed. The DACL robot manipulators are reconfigurable arms formed by two parallel cooperative manipulators. Some of their joints may lock into each other. Therefore, the arms normally operate redundantly. However, when higher structural stiffness is needed these two arms can lock into each other in specific joints and loose some degrees of freedom. The dynamics of the DACL robot is... 

    Remote monitoring and control of the 2-DoF robotic manipulators over the internet

    , Article Robotica ; Volume 40, Issue 12 , 2022 , Pages 4475-4497 ; 02635747 (ISSN) Hokmi, S ; Haghi, S ; Farhadi, A ; Sharif University of Technology
    Cambridge University Press  2022
    Abstract
    This article is concerned with remote monitoring and control of the 2-degrees of freedom (DoF) robotic manipulators, which have nonlinear dynamics over the packet erasure channel, which is an abstract model for communication over the Internet, WiFi, or Zigbee modules. This type of communication is subject to imperfections, such as random packet dropout and rate distortion. These imperfections cause a significant challenge for monitoring and control of robotic manipulators in the industrial environments because sensitive data, such as sensor data and control commands may not ever reach to their destination resulting in significant performance degradation. Therefore, the effects of these... 

    Identification and Control of Robot Manipulators using Cell Phone Sensors

    , M.Sc. Thesis Sharif University of Technology Ebrahimi Varkiani, Mohammad (Author) ; Namvar, Mehrzad (Supervisor)
    Abstract
    The goal of controlling robot manipulators is to perform the mission intended for its end effector. Model-based control is a solution that can achieve the control goal with high speed and accuracy in the presence or absence of environmental obstacles by using the knowledge of the robot model. In this thesis, the Armtin 5 robot model parameters were identified in two steps. In the first step, the gravity and friction parameters and in the second step, the dynamic parameters were estimated. In the estimation of gravity and friction parameters, the non-linear behavior of friction causes the estimated parameters to be accompanied by a large amount of error. Estimation of the parameters was...