The performance of model predictive controllers (MPC) strongly depends on the quality of
their models. In the field of electric drive control, white-box (WB) modeling approaches …

This article presents an automatic parameter identification method based on ordinary least
square (OLS) algorithm for deadbeat predictive current control (DPCC) to fulfill the purpose …

In recent years, Interior Permanent Magnet Synchronous Machines (IPMSMs) have attracted
a considerable attention in the scientific community and industry for Electric and Hybrid …

Permanent magnet synchronous machines designed with single-layer fractional slot
concentrated windings are inherently fault tolerant; however, this does not eliminate the …

This paper proposes a compensation method for interpolation error of the maximum power
control of a PMSM control system that generates current commands through a look-up table …

The model predictive current control (MPCC) method for permanent magnet synchronous
motor (PMSM) has been widely applied due to its quick current response. However, the …

This paper compares two torque control methodologies, namely Field Oriented and Model
Predictive ones, for monitoring Interior Permanent Magnet Motor (IPMM) over a wide speed …

This study proposes a field weakening control method with interpolation error compensation
of the look-up table based permanent-magnet synchronous machine (PMSM) method. The …

Sensorless control is a promising alternative for controlling Electric Vehicle (EV) and Hybrid
Electric Vehicle (HEV) propulsion systems without the need of complex devices, such as …

This paper investigates the use of a hybrid Recurrent Neural Network to reproduce the
behavior of a nonlinear long-horizon Model Predictive Controller (MPC) used in traction …