Sadeq Ali Qasem Mohammed and Kyo-Beum Lee, "Improved Iterative Learning Control for Three-Level NPC Inverter-Fed PMSM Drives With DC-Link Balancing," IEEE Transactions on Industrial Informatics, in press. -SCI > Paper

This research work designs an improved iterative learning control (ILC) with DC-link balancing capability for three-level neutral-point-clamped (3L-

NPC) inverter-fed permanent magnet synchronous motors (PMSMs). Unlike the classical ILC, which depends only on information captured from the 

last iteration, the proposed ILC approach is capable of storing the data of the state errors from a number of preceding iterations. Henceforth, the

designed control method incorporate the simple DClink balancing algorithm. It encompasses the integration of essential dynamics, with a dual focus 

on achieving not only rapid dynamic response but also maintaining a satisfactory steady-state performance. The efficacy of the proposed control 

approach is validated by simulation as well as experimental findings implemented with a PSIM software package and an experimental PMSM test rig 

with a TMS320F28335-DSP, respectively. Therefore, the improved transient response and steady-state performance indicate that the suggested control

approach outperforms the standard approach.