LEE- Sistem Dinamiği ve Kontrol-Yüksek Lisans

Bu koleksiyon için kalıcı URI

http://hdl.handle.net/11527/19460

Gözat

Yayın Türü "Master Thesis" ile LEE- Sistem Dinamiği ve Kontrol-Yüksek Lisans'a göz atma
  • Öge
    Hybrid compliance control of collaborative robots
    (Graduate School, 2022-10-18) Altekin, Naz ; Bayraktaroğlu, Zeki Yağız ; 503181633 ; System Dynamics and Control Engineering
    Robots are a valuable part of the manufacturing industry for their capability to be precise, consistent, and fast. Therefore, robotics is an essential piece of Industry 4.0. In processes that need high speed/high force robots are preferred, because they are programmed to bring maximum efficiency. Various control schemes are developed for automation of any kind of robot and the control is done via sensors and actuators. The compliant control scheme allows to adjustment of force and torque exerted by the environment onto the robot manipulator during operations. In this thesis, an indirect hybrid position/force controller is developed using a UR10 collaborative robot, for deburring processes. Every deburring process may require specific force control parameters due to variations in workpiece material, form, burr heights, etc. The developed control scheme aims to provide flexibility by making these control parameters adjustable. So that, the same manipulator can be used with different components that require specific deburring parameters. Whereas the built-in force controller in the robot is closed to the end-user. First, the kinematic modeling of general robot structures is explained. UR10 kinematics is shared using Denavit - Hartenberg parameters. Next, dynamic modeling methods are explained which defines the relationship between robot motion, and manipulator forces/torques. Jacobian concept is summarized, because CB3 series Universal Robots do not have a pre-installed F/T transducer at end-effector to measure the forces and torques. The controller is estimating these values on the tool, through Jacobian and motor torque constants at each joint. During testing, noise is observed in the data collected, hence low-pass filters are introduced. It is concluded that the Bessel filter is most suitable due to its characteristics in magnitude and phase responses through experiments. Motion control is explored through various control schemes in free and compliant environments. Compliant schemes are used in applications where force and position are controlled in different directions in a coordinate frame. Hybrid position/force control schemes are explained, and block diagrams are shared. An indirect hybrid compliant control scheme is created to be used with the UR controller. The control scheme includes proportional, integral, and derivative gains that are determined through testing. The control scheme is tested on a flat surface and a curved pipe. Reaction force and displacement results are compared with results from tests with the built-in force controller. In conclusion, comparison results are discussed. Shortcomings of the study and their impact are shared. Future possible improvements are recommended.
  • Öge
    Path planning with hybrid use of artificial intelligence algorithms in autonomous mobile vehicles
    (Graduate School, 2022-06-16) Aktaş, Ahmet ; Koç, Murat İlker ; 503191603 ; System Dynamics and Control
    It is aimed to solve the path planning problems of autonomous mobile vehicles with ROS support indoor applications. The genetic algorithm was chosen as a path planning algorithm and applied to the robot. The reason for choosing the genetic algorithm is that there are few studies in the literature evaluating the performance of genetic algorithms in environments with dynamic objects. Genetic algorithms are of stochastic algorithms. Stochastic algorithms have to run a large number of tries to plan an optimal path. A high number of attempts requires good processor performance, otherwise, the planning time of the optimal path may be long in environments with dynamic objects. These trials are selected based on the evaluation criteria. The optimal path in this study is marked on the map with waypoints and the vehicle follows these points. This optimal path, which is revealed when all of the points are passed, is the shortest path between the starting point and the goal point. In order to apply the planner to the autonomous mobile robot, the autonomous system architecture must first be created.