Abstract
In view of the strong non-linear and time-varying characteristics of linear ultrasonic motors, a fuzzy recurrent neural network controller is put forward. In order to improve the control of the convergence speed and robustness of the proposed controller, the differential evolution algorithm is used for the rapid preliminary off-line optimization of the weights and parameters of network，and then combines the adaptive law and BP algorithm and gradient descent optimization mechanism for learning and accurate optimization. The results show that the fuzzy recurrent neural network controller is better than PID and self-structuring neural network controller, and has a good anti-interference capability.
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.
