This paper presents a fast current control scheme for a dual air-gap axial flux permanent magnet (AFPM) machine based on model predictive control (MPC) approach. This AFPM machine functions as both motor and generator in the flywheel energy storage system (FESS), hence its fast acceleration or deceleration is crucial for rapid storage and release of energy respectively. MPC method, which can pre-calculate the system behaviour and subsequently select optimal control variables, has been employed to control this machine. Performance of MPC for this machine is evaluated and compared with the proportional-integral-derivative controllers. The feasibility and potential of the MPC for this AFPM machine in the FESS have been validated by both simulations and experiments on a machine prototype.
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