A Comparison of Finite Control Set and Continuous Control Set Model Predictive Control Schemes for Model Parameter Mismatch in Three-Phase APF

Model predictive control (MPC) methods are widely used in the power electronic field, including finite set model (FCS-MPC) and continuous (CCS-MPC). The degree of parameter uncertainty influence on two is key to evaluate feasibility application. This paper proposes a research method analyze FCS-MPC CCS-MPC’s current prediction error three-phase active filter (APF) under uncertainty. It compares performance parameters In each sampling period algorithm, different conditions will be produced when cycles candidate vectors. Different pulse width modulation (PWM) results CCS-MPC solves quadratic programming (QP) problem. presents simulation discusses inaccurate modeling load resistance inductance MPC algorithms, reference value state also compared. caused by mismatch lower than that mismatch, more errors underestimating values overestimating values. has better effect dynamic relatively tiny.