TY - GEN
T1 - Control design for direct-drive robotic ARM using sliding mode control
AU - Soehartanto, Totok
AU - Imran, Imil Fadli
AU - Purwitosari, Latifatul Auniah
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2018/6/15
Y1 - 2018/6/15
N2 - Robotic arm with direct-drive arm has a nonlinear dynamic system which is the function of the inertia and the central Coriolis and influence styles of friction and gravity. Research on sliding mode control is designed to control a robotic arm to be moved in accordance with the position and the expected speed. This research was conducted on the design of sliding mode control in direct-drive robotic arm mathematically then counting system stability using the Lyapunov method. To verify the system of control designed does simulate on Matlab Simulink. Based on the results of the simulation, the sliding mode control is able to control the position and speed of the robotic arm in asymptotically. Error compiling is very small i.e. 0.000875 (error positions) and 0.001295 (error speed) for set point is constant, 0.000435 (error positions) and 0.001032 (error speed) for set sinusoidal, 0.004345 (error positions) and 0.005207 (error speed) for set point condition early. The robotic arms have higher movement accuracy while the gain k = 100 than at the time the gain k = 0.1, process simulation, however, when k = 0.1 faster than k = 100.
AB - Robotic arm with direct-drive arm has a nonlinear dynamic system which is the function of the inertia and the central Coriolis and influence styles of friction and gravity. Research on sliding mode control is designed to control a robotic arm to be moved in accordance with the position and the expected speed. This research was conducted on the design of sliding mode control in direct-drive robotic arm mathematically then counting system stability using the Lyapunov method. To verify the system of control designed does simulate on Matlab Simulink. Based on the results of the simulation, the sliding mode control is able to control the position and speed of the robotic arm in asymptotically. Error compiling is very small i.e. 0.000875 (error positions) and 0.001295 (error speed) for set point is constant, 0.000435 (error positions) and 0.001032 (error speed) for set sinusoidal, 0.004345 (error positions) and 0.005207 (error speed) for set point condition early. The robotic arms have higher movement accuracy while the gain k = 100 than at the time the gain k = 0.1, process simulation, however, when k = 0.1 faster than k = 100.
KW - Lyapunov method
KW - Robotic Arm with direct-drive arm
KW - sliding mode control
UR - http://www.scopus.com/inward/record.url?scp=85050038502&partnerID=8YFLogxK
U2 - 10.1109/ICAMIMIA.2017.8387601
DO - 10.1109/ICAMIMIA.2017.8387601
M3 - Conference contribution
AN - SCOPUS:85050038502
T3 - Proceeding - ICAMIMIA 2017: International Conference on Advanced Mechatronics, Intelligent Manufacture, and Industrial Automation
SP - 277
EP - 282
BT - Proceeding - ICAMIMIA 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 International Conference on Advanced Mechatronics, Intelligent Manufacture, and Industrial Automation, ICAMIMIA 2017
Y2 - 12 October 2017 through 14 October 2017
ER -