Abstract
The manipulator system is a multi-input and multi-output system with highly coupled, nonlinear and other dynamic characteristics, and the system structure and parameters are unpredictable in practice. A fuzzy neural network controller is designed for this system, and the parameters of FNNC are optimized by combining particle swarm algorithm and BP algorithm. The experimental results show that the scheme has strong adaptability, stability and anti-interference performance for the control system, and effectively solves the trajectory tracking problem of the manipulator.
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.
