Abstract
This article presents a multiple-vector finite-control-set model predictive control (MV-FCS-MPC) scheme with fuzzy logic for permanent-magnet synchronous motors (PMSMs) used in electric drive systems. The proposed technique is based on discrete space vector modulation (DSVM). The converter’s real voltage vectors are utilized along with new virtual voltage vectors to form switching sequences for each sampling period in order to improve the steady-state performance. Furthermore, to obtain the reference voltage vector (VV) directly from the reference current and to reduce the calculation load of the proposed MV-FCS-MPC technique, a deadbeat function (DB) is added. Subsequently, the best real or virtual voltage vector to be applied in the next sampling instant is selected based on a certain cost function. Moreover, a fuzzy logic controller is employed in the outer loop for controlling the speed of the rotor. Accordingly, the dynamic response of the speed is improved and the difficulty of the proportional-integral (PI) controller tuning is avoided. The response of the suggested technique is verified by simulation results and compared with that of the conventional FCS-MPC.
Highlights
The growing phenomenon of global warming and transportation-induced air emissions in urban areas has accelerated the introduction of several alternative mobility solutions such as electric vehicles, car sharing, and e-bikes [1]
The algorithm of the proposed MV-FCS-model PC (MPC) with the improvement of the steady state performance is given by the flow chart in Figure 5, where NVV is the number of voltage vectors for each sector
The proposed multiple vector finite-control-set model predictive control (FCS-MPC) with fuzzy logic controller applied on a permanent-magnet synchronous motors (PMSMs) drive system is simulated using Matlab/Simulink software
Summary
The growing phenomenon of global warming and transportation-induced air emissions in urban areas has accelerated the introduction of several alternative mobility solutions such as electric vehicles, car sharing, and e-bikes [1]. In [44], a method was proposed based on FCS-MPC using a discrete space vector modulation (DSVM) with virtual switching vectors, the author takes into consideration the complete region of control of the converter unlike FCS-MPC, which just takes the real voltage vector states. A new multiple-vector model predictive control with fuzzy logic for PMSM drive systems has been proposed This new technique is based on discrete space vector modulation (DSVM) employed together with conventional FCS-MPC in order to use the complete control region of the converter. The idea of this control strategy is to use the converter discrete real states with other vectors of the control region, called virtual vectors.
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