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Continuous-control-set model-free predictive fundamental current control for PMSM system
Although the robustness is enhanced essentially by the model-free predictive control, the
accuracy of its data-driven model is directly affected by the unnecessary current harmonics …
accuracy of its data-driven model is directly affected by the unnecessary current harmonics …
Generalized data-driven model-free predictive control for electrical drive systems
The performance of model predictive control has a strong correlation to the precision of the
physical parameters of the plant, and these parameters are hard to determine since they are …
physical parameters of the plant, and these parameters are hard to determine since they are …
[HTML][HTML] Model-free predictive control and its applications
Predictive control offers many advantages such as simple design and a systematic way to
handle constraints. Model predictive control (MPC) belongs to predictive control, which uses …
handle constraints. Model predictive control (MPC) belongs to predictive control, which uses …
Autoregressive moving average model-free predictive current control for PMSM drives
To eliminate the influence of the parameter mismatches and obtain high model quality, a
model-free predictive current control (MF-PCC) strategy based on the autoregressive …
model-free predictive current control (MF-PCC) strategy based on the autoregressive …
Model-free predictive current control using extended affine ultralocal for PMSM drives
Ultralocal is always used to solve the problem of weak robustness in predictive control to
resist the influences caused by some time-varying physical parameters in the motor driving …
resist the influences caused by some time-varying physical parameters in the motor driving …
PLPR-Based Predictive Control for LCL-Filtered Voltage Source Inverters
The model predictive control (MPC) is sensitive to parameter variations in LCL-filtered
voltage source inverters (VSIs). To improve the robustness of the MPC, this article proposes …
voltage source inverters (VSIs). To improve the robustness of the MPC, this article proposes …
Dynamic-linearization-based predictive control of a voltage-source inverter
In pursuit of accurate and fast trajectory tracking of power converters, an explicit model is
commonly used in the finite control-set model predictive control (FCS-MPC) framework to …
commonly used in the finite control-set model predictive control (FCS-MPC) framework to …
Artificial Intelligence in the Hierarchical Control of ac, dc and Hybrid ac/dc Microgrids–A Review
Growing concerns about the energy and environmental crisis are accelerating the transition
to a sustainable energy generation landscape through the integration of distributed …
to a sustainable energy generation landscape through the integration of distributed …
Continuous-control-set model-free predictive control using time-series subspace for PMSM drives
Recently, data analysis is used in model-free predictive control to mitigate the effects of
parameter mismatches in parametric models. However, the finite-control-set (FCS) type …
parameter mismatches in parametric models. However, the finite-control-set (FCS) type …
Model-free predictive control using sinusoidal generalized universal model for PMSM drives
To address the issue of weak robustness caused by parameter mismatches in model
predictive control (MPC), model-free predictive control is widely adopted in motor driving …
predictive control (MPC), model-free predictive control is widely adopted in motor driving …