Finite-control-set model predictive control (FCS-MPC) techniques have been widely applied for power electronics and motor drive. Furthermore, the principles of FCS-MPC have been extended to phase locked loop (PLL), which called finite position set PLL (FPS-PLL), for sensorless control of permanent-magnet synchronous generators (PMSGs) in wind turbine applications (WTAs). However, 64 iterations are essential to find the optimal rotor position, i.e high computational burden. In this paper, two computationally-efficient (CE) FPS-PLLs are proposed for encoderless control of PMSGs in WTAs. The first CE-FPS-PLL1 reduces the number of iterations to 36 with slightly better accuracy than the FPS-PLL, while the second (novel) CE-FPS-PLL2 calls for only 24 iterations to find the best rotor position with significantly better accuracy than the FPS-PLL. The performance of the proposed CE-FPS-PLLs have been experimentally investigated and compared with that of the FPS-PLL and classical PLL using a 14.5 kW PMSG. Furthermore, the robustness of the proposed CE-FPS-PLLs is investigated against variations of the PMSG parameters.     «

Finite-control-set model predictive control (FCS-MPC) techniques have been widely applied for power electronics and motor drive. Furthermore, the principles of FCS-MPC have been extended to phase locked loop (PLL), which called finite position set PLL (FPS-PLL), for sensorless control of permanent-magnet synchronous generators (PMSGs) in wind turbine applications (WTAs). However, 64 iterations are essential to find the optimal rotor position, i.e high computational burden. In this paper, two com...     »