Intelligent control of flywheel energy storage based on neural network

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.