Abstract
A new adaptive control architecture for the intelligent control of robotic manipulators is developed. The design is capable of utilizing external sensory information for the robot control. To achieve this, first a model reference adaptive control (MRAC) is developed which can be applied to a robot arm in the task space. Then the concept of virtual adaptive model is defined, which is used to formulate a maneuvering strategy in response to the external information. Finally, the virtual model provides the modified reference signals to the MRAC system to control the corresponding modified motion of the robot in the environment. The design does not require any knowledge about the dynamic parameters of the robot or that of the environment.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: 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.