Abstract
This study presents finite set-predictive torque control (FS-PTC) with discrete space vector modulation (DSVM) for indirect matrix converter (IMC)-fed permanent magnet synchronous motors (PMSMs). The implementation of FS-PTC with DSVM in an IMC requires high computation time due to the large number of synthesized voltage vectors (VVs). To reduce computation time caused by considering all VVs, a new preselection strategy is proposed to reduce the computational numerations from 37 to 6 VVs. The proposed algorithm can reduce torque and flux ripples and achieve robust characteristics against parameter variations. Additionally, the increased degree of VVs can improve the correlation between the rectifier and inverter sides of the IMC. The effectiveness of the proposed method is verified by simulation and experimental results.
Highlights
AC/AC power converter systems without a capacitive or inductive DC-link have become more attractive recently in high-performance motor drive applications due to their high efficiency and low weight and volume
MCs fall into two main categories: direct matrix converters (DMCs) and indirect matrix converters (IMCs) [2,3,4,5,6,7,8,9]
This study proposes a simple solution to enhance the performance of the finite set-predictive torque control (FS-PTC) of a permanent magnet synchronous motor (PMSM) fed by an IMC
Summary
AC/AC power converter systems without a capacitive or inductive DC-link have become more attractive recently in high-performance motor drive applications due to their high efficiency and low weight and volume. Several control techniques have been reported in the literature for the VSI stage of an IMC [9,10,11,12] Among these control methods is the finite set-model predictive control (FS-MPC), which is grouped into two main schemes: finite set-predictive current control (FS-PCC) [12] and finite set- predictive torque control (FS-PTC) [9]. The FS-PTC method is a class of direct torque control (DTC) [15,16,17] and is broadly used for high-performance electric drive applications In this approach, the cost function evaluation relies on the errors resulting from electromagnetic torque and stator flux. In [32], a preselection approach using torque error for DSVM-based PTC with 73 VVs was applied to a two-level voltage source inverter (2L-VSI).
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