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    A study of stabilization and swing-up linear control for a single link rotary pendulum
    (IEEE-Institute of Electrical and Electronics Engineers Inc., 2022) Ben Hazem, Zied; Bingül, Zafer
    Single link rotary inverted pendulum (SLRIP) is a highly nonlinear control system that has complex dynamic behavior. This type of system requires a high-performance controller for its control. The rotary pendulum system is present as a control problem challenge because the system often moves to an uncontrolled state. The problem consists to balance one or more attached pendulums vertically in the upward position on a rotational arm which has a single degree of freedom and turns horizontally on only one axis. The aim is to find a control strategy that provides accurate performance with respect to the angles of the pendulums and the horizontal arm. This paper proposes a study of a PID, Linear Quadratic Regulator (LQR) stabilization control, and swing-up linear control based on LQR. The gains of the PID and LQR controllers are optimized by using the particle swarm optimization (PSO) algorithm to provide more robust controllers. A dynamic mechanical simulation study was conducted on MATLAB/SimMechanics obtained by the designed 3D-CAD models of the SLRIP. According to experimental results, the systems demonstrate the efficiency and robustness of all controllers.
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    Joint control implementation of 4-DOF robotic arm using robot operating system
    (IEEE, 2022) Ben Hazem, Zied; İnce, Resul; Dilibal, Savaş
    The paper describes the joint position control implementation for 4 degrees of freedom (4-DOFs) robot manipulator with a robot operating system (ROS) that may be used for robotics courses. ROS contains various plugins and software packages for robots' data analysis used in robotic engineering education. To accomplish the position control of joints using the ROS, the connection between the Arduino controller board and ROS was created. Moreover, using the Arduino controller board, all motors of the 4-DOFs arm robot are controlled using a PID controller. The forward and inverse kinematic models for the 4-DOFs robot manipulator are also developed based on the Denavit-Hartenberg (DH) method. The obtained DH parameters were used in the 3D kinematic model trajectory provided by the RoboAnalyzer software to determine the position, velocity, and acceleration plots for each joint. The direct and inverse kinematic models are used in the implementation of the position controller. The results further indicate that the proposed position control using the PID controller in ROS returns accurate tracking results in terms of minimum root mean squared errors (RMSEs) that can be used in the control of any industrial robot.