Master Degree / Yüksek Lisans Tezleri

Permanent URI for this collectionhttps://hdl.handle.net/11147/3008

Browse

Filters

2003 - 200942010 - 20121

Settings

Access Right: Open AccessSubject: search.filters.subject.Robots--Kinematics

Search Results

Now showing 1 - 5 of 5
  • Master Thesis
    Wearable exoskeleton robot design
    (Izmir Institute of Technology, 2007) Gün, Volkan; Keçeci, Emin Faruk
    In this thesis study it is intended to design a wearable exoskeleton robot which will replace paralytic or disable people.s legs and provide to walk. The wearable exoskeleton robot will be an intelligent system that fulfill the gait necessities, climb the slopes up and down, and remove the disadvantages of the wheelchairs and mobility aid vehicles. Robot will be a wearable device like a trouser and it will work to carry out daily duties for users. Robot will increase user.s maneuver capabilities and support users. legs and aid walking action for users thanks to 3-one degree of freedom (DOF) joints which are designed for each leg and are powered by DC electric actuators. Design of the wearable exoskeleton robot includes, modeling and designing of the robot using a parametric solid modeling computer program (Solidworks), selection of the most suitable material for the design characters and robot manufacturing processes, strength analysis of the critical part of the robot, mathematical modeling of the system, design and manufacturing of the test machine and finding the most suitable walking combination by investigating degree of freedoms of each joints on the legs. In addition to mechanical design of the wearable exoskeleton robot, an electronic circuit is designed and manufactured in order to control each joint movement order and time in walking action. Moreover, in order to control the robot by the users, a keypad unit is manufactured on the robot and necessity functions are described in the program. As a result of this thesis; a wearable exoskeleton robot is manufactured to be used as a walking assistant.
  • Master Thesis
    Kinematic and Dynamic Analysis of Spatial Six Degree of Freedom Parallel Structure Manipulator
    (Izmir Institute of Technology, 2003) Bayram, Çağdaş; Alizade, Rasim
    This thesis covers a study on kinematic and dynamic analysis of a new type of spatial six degree of freedom parallel manipulator. The background for structural synthesis of parallel manipulators is also given. The structure of the said manipulator is especially designed to cover a larger workspace then well-known Stewart Platform and its derivates. The main point of interest for this manipulator is its hybrid actuating system, consisting of three revolute and three linear actuators.Kinematic analysis comprises forward and inverse displacement analysis. Screw Theory and geometric constraint considerations were the main tools used. While it was possible to derive a closed-form solution for the inverse displacement analysis, a numerical approach was used to solve the problem of forward displacement analysis. Based on the results of the kinematic analysis, a rough workspace study of the manipulator is also accomplished. On the dynamics part, attention has been given on inverse dynamics problem using Lagrange-Euler approach.Both high and lower level software were heavily utilized. Also computer software called .CASSoM. and .iMIDAS. are developed to be used for structural synthesis and inverse displacement analysis. The major contribution of the study to the scientific community is the proposal of a new type of parallel manipulator, which has to be studied extensively regarding its other interesting properties.
  • Master Thesis
    Self-Motion Control of Kinematically Redundant Robot Manipulators
    (Izmir Institute of Technology, 2012) Maaroof, Omar Waleed Najm; Dede, Mehmet İsmet Can
    Redundancy in general provides space for optimization in robotics. Redundancy can be defined as sensor/actuator redundancy or kinematic redundancy. The redundancy considered in this thesis is the kinematic redundancy where the total degrees-of-freedom of the robot is more than the total degrees-of-freedom required for the task to be executed. This provides infinite number of solutions to perform the same task, thus, various subtasks can be carried out during the main-task execution. This work utilizes the property of self-motion for kinematically redundant robot manipulators by designing the general subtask controller that controls the joint motion in the null-space of the Jacobian matrix. The general subtask controller is implemented for various subtasks in this thesis. Minimizing the total joint motion, singularity avoidance, posture optimization for static impact force objectives, which include maximizing/minimizing the static impact force magnitude, and static and moving obstacle (point to point) collision avoidance are the subtasks considered in this thesis. New control architecture is developed to accomplish both the main-task and the previously mentioned subtasks. In this architecture, objective function for each subtask is formed. Then, the gradient of the objective function is used in the subtask controller to execute subtask objective while tracking a given end-effector trajectory. The tracking of the end-effector is called main-task. The SCHUNK LWA4-Arm robot arm with seven degrees-of-freedom is developed first in SolidWorks® as a computer-aided-design (CAD) model. Then, the CAD model is converted to MATLAB® Simulink model using SimMechanics CAD translator to be used in the simulation tests of the controller. Kinematics and dynamics equations of the robot are derived to be used in the controllers. Simulation test results are presented for the kinematically redundant robot manipulator operating in 3D space carrying out the main-task and the selected subtasks for this study. The simulation test results indicate that the developed controller’s performance is successful for all the main-task and subtask objectives.
  • Master Thesis
    Biokinematic Analysis of Human Arm
    (Izmir Institute of Technology, 2006) Gezgin, Erkin; Alizade, Rasim
    Theory of Machines and Mechanisms is one of the main branches of science including many sub-branches such as biomechanics, human machine systems, computational kinematics, mechatronics, robotics, design methodology, dynamics of machinery, gearings and transmissions, cams and linkages, micro machines, nonlinear oscillations, reliability of machines and mechanisms etc. In this large area of interest, this study can be matched with the sub groups biomechanics, robotics, computational kinematics and design methodology. The main concern of the thesis is the biokinematics of the human arm. In the process of design, a suitable tool for the kinematics of human arm is investigated as quaternions along with examples. Moreover, the history of the formulas of Dof is presented as 38 equations with the unique key controlling parameters that are used in the design of new Cartesian and serial platform type robot manipulators. Structural syntheses of new manipulators are considered.Simple serial platform structural groups in subspace 8.3, and general space 8.6 are presented along with examples. Furthermore, type synthesis of human arm is accomplished with the new proposed parallel manipulator for the shoulder, elbow and wrist complex. Finally, computational kinematics of the serial human wrist manipulator and the geometrical kinematic analysis of the orientation platforms of the new parallel manipulator design for the human arm are accomplished.
  • Master Thesis
    The Control of a Manipulator Using Cerebellar Model Articulation Controllers
    (Izmir Institute of Technology, 2003) Darka, Murat; Özdemir, Serhan
    The emergence of the theory of artificial neural networks has made it possible to develop neural learning schemes that can be used to obtain alternative solutions to complex problems such as inverse kinematic control for robotic systems. The cerebellar model articulation controller (CMAC) is a neural network topology commonly used in the field of robotic control which was formulated in the 1970s by Albus. In this thesis, CMAC neural networks are analyzed in detail. Optimum network parameters and training techniques are discussed. The relationship between CMAC network parameters and training techniques are presented. An appropriate CMAC network is designed for the inverse kinematic control of a two-link robot manipulator.