A Flywheel Energy Storage System Suspended by Active Magnetic Bearings Using a Fuzzy Control with Radial Basis Function Neural Network

A flywheel energy storage system (FESS) is an effective energy-saving device. It works by accelerating a rotor flywheel disc at a very high speed and maintaining the energy in the system as rotational energy. Active magnetic bearings (AMBs) are ideally suited for use at high-speed and are so used in FESSs. This work develops a mathematical model of the levitation force and rotational torque of a flywheel. The system for controlling the position of the flywheel is designed based on a neural fuzzy controller. A mathematical model of an AMB system comprises identification followed by collection of information from this system. A fuzzy logic controller (FLC), the parameters of which are adjusted using a radial basis function neural network, is applied to the unbalanced vibration in FESS. The results obtained concerning the FESS indicate that the system exhibited satisfactory control performance including transient and steady-state responses under various operating conditions.