Model Predictive Control of Matrix Converter-based Flywheel Energy Storage System

In this paper, a model predictive control (MPC) method is used to control the matrix converter (MC) to drive the permanent magnet synchronous machine (PMSM) in a flywheel energy storage system (FESS). The mathematical models of PMSM, MC switching states, and input filters are studied and developed. The MPC strategy based on traditional i(d)=0 control is adopted. MC has no intermediate energy storage link and it can realize the bidirectional flow of energy. The double closed-loop controller comprising an outer speed PI control loop and an inner current MPC loop is employed for controlling the machine in charging mode, and the input power factor can be regulated at the same time. Implementation of MPC for discharging mode is discussed as well. Finally, the simulation of the charging control of FESS is carried out in MATLAB/Simulink. The presented simulation results demonstrate that the proposed control method has a good tracking performance of torque and revolving speed and verify the effectiveness and feasibility of the proposed method.