The disadvantage of finite control set-model predictive (FCS-MPC) is that the switching frequency variable and relies on sampling time operating point. This paper describes how to implement a new algorithm achieve fixed-switching functionality for FCS-MPC. used approach combines FCS-MPC with SVPWM, resulting in calculation dwell times selection best two active vectors next sample interval. Thes...

<span lang="EN-US">This paper presents the model predictive control (MPC) design using backward Euler method for an 11-level switched-battery boost multilevel inverter (SBBMLI). The SBBMLI was proposed as cost-effective solution communication power line in a high-speed rail (HSR) system. Initially, generalized problem formulation performed, and open-loop simulation based on voltage curren...

The maglev yaw system (MYS) of wind turbine adopts the maglev-driving technique instead traditional gear-driving technique, so it has advantages short downtime and low cost operation maintenance. However, is vulnerable to nonlinear time-varying disturbance caused by random change speed direction. This paper proposes a dual-loop suspension control strategy based on finite set model predictive (F...

This paper proposes an adaptive sensorless finite-control-set model predictive control (FCS-MPC) method for the interior permanent magnet synchronous motor (IPMSM). The is feasible in full speed range from zero to flux-weakening region above rated speed, without transition between low and high speeds. A ripple excitation-based position estimation proposed extract rotor-saliency-based informatio...

This study presents an online multiparameter estimation scheme for interior permanent magnet motor drives that exploits the switching ripple of finite control set (FCS) model predictive control (MPC). The combinations consist of two, three, and four parameters are analysed for observability at different operating states. Most of the combinations are rank deficient without persistent excitation ...