Abstract
The major problems of hybrid force/position control arise from uncertainty of the robot manipulator and unknown parameters of the task environment. This paper proposes a self tuning fuzzy hybrid forced position control scheme, which can force the end-effector lo tracking a desired force and position trajectories in the Cartesian space. The output of the self tuning algorithm adjusted on-line by the Scaling Factor (SF). The selection of SF value depends on the values of error (e) and change of error (e). The present work is applied to the control of a two degrees-of-freedom (DOF) planar robot manipulator. The simulation results were carried out by using mailab5.3 program.
Highlights
Summary
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
