• Transactions of the Korean Society of Mechanical Engineers
• /
• v.19 no.2
• /
• pp.568-579
• /
• 1995

An off-line programming (OLP) system was proposed and developed in order to save cost and time in adjusting a robot to new workcells or applying new algorithms to actual trajectory planning. The developed OLP system was especially designed to be operated in a PC level host computer. A SCARA robot with four axes was selected as an objective robot. The OLP system developed in this study consisted of such modules as data base, three-dimensional graphics, kinematics, trajectory planning, dynamics, control, and commands. Each module was constructed to form an independent unit so that it can be easily modified or improved. The OLP system was programmed for a graphic user interface in Borland $C^{++}$ language. Some of system operating commands and an interpreter were devised and used for more convenient programming of robot simulations.s.

• Proceedings of the KIEE Conference
• /
• 1991.11a
• /
• pp.401-404
• /
• 1991

In this paper, the controllers for the motion of the 2-joint manipulator design two stages: (1) a primary controller that under ideal conditions makes the end-effector track the desired trajectory: (2) a secondary controller that compensates for undesirable deviations of the motion from the disired trajectory caused by external and/or internal disturbances. The secondary contoller is applied to PID control algorithm. and the controllers is actually designed using IBM-PC/AT and 8096 single chip microprocessor.

• Journal of the Korean Institute of Telematics and Electronics
• /
• v.25 no.8
• /
• pp.916-926
• /
• 1988

In this paper, we explore real-time implementation of various dynamic control algorithms, which use the different levels of the information of the dynamics, using a SCARA type robot to show the feasibility and effectiveness of such algorithms. For these purposes, the kinematics of the SCARA type robot is anayzed and the manipulator-actuator dynamic equations based on Lagrange mechanisms are derived. Experimental results indicate that computed torque technique and iterative learning control methods perform better than classical PID control and that these algorithms can be effectively applied to controlling industrial manipulators.

• Proceedings of the KIEE Conference
• /
• 1993.11a
• /
• pp.307-309
• /
• 1993

Robot's kinematic equation is not perfect. In this paper, a method for reducing the positioning error which comes from the imperfect robot kinematics is introduced. This method compensates the parameter of the kinematic equation using real positioning error. And the trajectories using these compensated parameterare compared with uncompensated ones.