PUBLICATIONS

This  research  work  designs  a  high-order  iterative  learning control (HO-ILC) for permanent magnet synchronous motors (PMSMs) which is fed by 

a neutral-point clamped three-level inverter. Unlike the classical ILC which depends on the information captured only from one iteration, the proposed 

HO-ILC approach is capable of storing the data of the state errors from a number of preceding iterations so it can prove a better tracking 

performance. Apart from improving  the  dynamic  response  (i.e.,  smooth  and  quick  tracking performance),  it  can  offer  a  robust  steady-

state response such as reduced steady-state error (ess), minimized total harmonic distortion (THD), etc., owing to the inclusion of some important 

dynamics, i.e., captured stator  currents  errors.  Therefore,  the  proposed  method ensures both improved dynamic/steady-state control 

performance, e.g., fast settling time, less THD, etc. The conducted simulation via the PSIM simulation tool validates the superiority of the proposed 

approach.