Abstract
The current control of the permanent-magnet synchronous generator (PMSG) using an interval type-2 (IT2) Takagi-Sugeno (T-S) fuzzy systems is designed and implemented. PMSG is an energy conversion unit widely used in wind energy generation systems and energy storage systems. Its performance is determined by the current control approach. IT2 T-S fuzzy systems are implemented to deal with the nonlinearity of a PMSG system in this paper. First, the IT2 T-S fuzzy model of a PMSG is obtained. Second, the IT2 T-S fuzzy controller is designed based on the concept of parallel distributed compensation (PDC). Next, the stability analysis can be conducted through the Lyapunov theorem. Accordingly, the stability conditions of the closed-loop system are expressed in Linear Matrix Inequality (LMI) form. The AC power from a PMSG is converted to DC power via a three-phase six-switch full bridge converter. The six-switch full bridge converter is controlled by the proposed IT2 T-S fuzzy controller. The analog-to-digital (ADC) conversion, rotor position calculation and duty ratio determination are digitally accomplished by the microcontroller. Finally, simulation and experimental results verify the performance of the proposed current control.
Highlights
A permanent-magnet synchronous generator (PMSG) [1] is an essential unit implemented to convert energy
PMSG can be implemented in various utilizations like electric vehicles (EV) and hybrid electric vehicles (HEV) [2,3], home appliances [4], wind generation systems [5], flywheel energy storage systems (FESS) [6] and ultrahigh-speed elevators [7]
The stability conditions of the proposed current controller are microcontroller, are demonstrated to verify the performance of the designed interval type-2 (IT2) T-S fuzzy current expressed in Linear Matrix Inequality (LMI) form
Summary
A permanent-magnet synchronous generator (PMSG) [1] is an essential unit implemented to convert energy. The Takagi-Sugeno fuzzy [21,22] (T-S fuzzy) system is implemented to design a speed controller for the permanent-magnet synchronous motor (PMSM) and a current controller for the PMSG. IT2 T-S controller for the permanent-magnet synchronous motor (PMSM) and a current controller for the fuzzy models are implemented in the design of a current controller for the PMSG. The stability of the IT2 T-S fuzzy control system for PMSG is current command tracking, variable current command tracking and computation time of the analyzed using the Lyapunov theorem. The stability conditions of the proposed current controller are microcontroller, are demonstrated to verify the performance of the designed IT2 T-S fuzzy current expressed in Linear Matrix Inequality (LMI) form. Command tracking, variable current command tracking and computation time of the microcontroller, are demonstrated to verify theDynamic performance of the designed IT2 T-S fuzzy current controller
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