Abstract
In order to improve the flywheel energy storage control efficient, recurrent fuzzy neural network (RFNN) is adopted. Off-line learning of RFNN controller is finished. Simulative function of RFNN controller and simulative model of the system are built up. Simulations are finished and the result from the RFNN controller is compared with the one from PID controller. Finally, in the experiments, flywheel is charged by AC network using RFNN controller. The effect of RFNN controller and PID controller are compared, it is easy to see that the response speed of RFNN controller is faster than PID controller, the stable precision is better. This electronic document is a “live” template. The various components of your paper [title, text, heads, etc.] are already defined on the style sheet, as illustrated by the portions given in this document.
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.
