Online parameter estimation of permanent magnet synchronous machines is critical for
improving their control performance and operational reliability. This paper provides an …

Predictive control has emerged as a promising control method in a variety of technological
fields. Model predictive control, as one of the subdivisions of this control method, has found …

Model-free predictive current control (MFPCC) that only needs the input and output data of
the system can eliminate the influence of the motor parameters mismatch. In the …

This paper reviews the classification and application of the model predictive control (MPC) in
electrical drive systems. Main attention is drawn to the discrete form of MPC, ie finite control …

This article proposes a novel model predictive control for a three-phase permanent-magnet
synchronous motor (PMSM) with enhanced robustness against parameter variation and …

Cellular architectures are promising in a variety of engineering applications due to attractive
material properties. Additive manufacturing has reduced the difficulty in the fabrication of …

The parameter estimators and the disturbance observers are two widely used methods for
the robustness improvement of the model predictive control schemes. This article presents a …

Model predictive control has been considered as a potential alternative method in electrical
drives. High reliable predictive model design is a research hotspot. To further improve the …

During the past few years, finite control set predictive current control (PCC) method has
attracted more and more attention in research and industry applications. However, PCC …

A finite control set model predictive control (FCS-MPC) strategy consists of a prediction
model, a cost function and an optimization algorithm. Consequently, the performance of the …