Flywheel energy storage control based on recurrent fuzzy neural network

Corresponding to the flywheel energy storage technology with broad application prospects, the Advantages of recurrent fuzzy neural network (RFNN) intelligent control method is adopted, then a flywheel energy storage vector controller is designed. 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.