Power converters and motor drives are playing a significant role in the transition towards
sustainable energy systems and transportation electrification. In this context, rich diversity of …

This paper presents a state-of-the-art review in modeling approach of hardware in the loop
simulation (HILS) realization of electric machine drives using commercial real time …

Optimization-based control strategies are an affirmed research topic in the area of electric
motor drives. These methods typically rely on the accurate parametric representation of …

Existing online motor parameter identification methods mostly depend on the fundamental
frequency voltage equations, which lead to the unsatisfactory identification effect at low …

Conventional predictive control (PC) has been employed for machine drives due to good
dynamic response and easy implementation. However, the disturbance caused by machine …

The performances of a model predictive control algorithm largely depend on the knowledge
of the system model. A model-free predictive control approach skips all the effects of …

This article deals with a finite-set model predictive current control in synchronous motor
drives. The peculiarity is that it does not require the knowledge of any motor parameter. The …

Recently, model-based predictive current control (MB-PCC) has been presented as a good
alternative to classical control algorithms in terms of simplicity and performance reliability …

Offline parameter identification of permanent magnet synchronous machines (PMSMs) is of
great importance for general-purpose drives with sensorless control. This paper proposes …

Conventional model predictive direct speed control (MP-DSC) has received extensive
attention because of its easy implementation, fast dynamic response, and simple structure …