A Lyapunov-based model predictive control strategy in a permanent magnet synchronous generator wind turbine

摘要

The present study proposes a stable control strategy based on the finite-control-set model-predictive control (FCS-MPC) for normal operation and fault conditions in a permanent magnet synchronous generator (PMSG). Voltage should be recovered in grid fault conditions to satisfy the requirements of low voltage ride through (LVRT) in some grid codes. The proposed control method will be based on a control Lyapunov function (CLF) in continuous control law for stabilizing the closed loop system. The cost function will be minimized using at least one discrete switching state in the FCS-MPC. This method prevents a sudden rise in the voltage of the DC-link by storing active power as the rotor inertia. The effectiveness of the proposed control system is validated in MATLAB for a wind turbine generator. The simulations show that this method can cover the DC-link voltage during faults.