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An apparent inductance online identification for sensorless control of permanent magnet synchronous motor (2024)
Journal Article

The model‐based sensorless control of permanent magnet synchronous motor (PMSM) relies on the motor parameters. In practice, the considerable uncertainty of inductance and the difference between the apparent inductance and the incremental inductance... Read More about An apparent inductance online identification for sensorless control of permanent magnet synchronous motor.

Model predictive control for Vienna rectifier with constant frequency based on inductance parameters online identification (2024)
Journal Article

When the finite control set model predictive control (FCS-MPC) is applied to the three-level converter, there are problems such as large current harmonics, high requirements for the computing efficiency of the microcontroller, complex multi-objective... Read More about Model predictive control for Vienna rectifier with constant frequency based on inductance parameters online identification.

A Review on Weighting Factor Design of Finite Control Set Model Predictive Control Strategies for AC Electric Drives (2024)
Journal Article

Model predictive control has been widely applied to AC electric drives over the last decade. Despite the proposed solutions, researchers are still seeking to find more effective solutions for weighting factor design, parameter dependency, current/tor... Read More about A Review on Weighting Factor Design of Finite Control Set Model Predictive Control Strategies for AC Electric Drives.

Switched Reluctance Linear Motor Force Ripple Suppression Based on Fixed Frequency Implicit Generalized Predictive Self-Correction Controller (2024)
Journal Article

An implicit generalized predictive self-correction controller (IGPC) is proposed in this paper to suppress the force ripple of switched reluctance linear motors (SRLMs). Due to its good robustness and rolling optimization features, the dynamic matrix... Read More about Switched Reluctance Linear Motor Force Ripple Suppression Based on Fixed Frequency Implicit Generalized Predictive Self-Correction Controller.

A Hybrid Multiresonances Suppression Method for Nonsynchronous LCL-Type Grid-Connected Inverter Clusters Under Weak Grid (2024)
Journal Article

Multiresonance phenomena occur in inverter clusters under weak grid, with more complex resonance characteristics. Traditional suppression methods are difficult to determine control parameters when considering dynamic resonance under the variation of... Read More about A Hybrid Multiresonances Suppression Method for Nonsynchronous LCL-Type Grid-Connected Inverter Clusters Under Weak Grid.

Speed‐current single‐loop control of PMSM based on model‐assisted cascaded extended state observer and sliding mode control (2024)
Journal Article

This paper proposes a novel speed‐current single‐loop speed regulation controller for permanent magnet synchronous motor (PMSM) based on model‐assisted cascaded extended state observer (ESO) and sliding mode control (SMC), aimed at simplifying the co... Read More about Speed‐current single‐loop control of PMSM based on model‐assisted cascaded extended state observer and sliding mode control.

Current-constraint Speed Regulation for PMSM Based on Port-controlled Hamiltonian Realization and Deep Deterministic Policy Gradient (2023)
Journal Article

To ensure overcurrent protection, fast dynamic performance and good robustness, a novel speed regulation controller is proposed. The interconnection and damping assignment passivity-based control (IDA-PBC) of Port-controlled Hamiltonian (PCH) systems... Read More about Current-constraint Speed Regulation for PMSM Based on Port-controlled Hamiltonian Realization and Deep Deterministic Policy Gradient.

Artificial Intelligence Techniques for Enhancing the Performance of Controllers in Power Converter-Based Systems—An Overview (2023)
Journal Article

The integration of artificial intelligence (AI) techniques in power converter-based systems has the potential to revolutionize the way these systems are optimized and controlled. With the rapid advancements in AI and machine learning technologies, th... Read More about Artificial Intelligence Techniques for Enhancing the Performance of Controllers in Power Converter-Based Systems—An Overview.

Enhanced Dual–Vector Model Predictive Control for PMSM Drives Using the Optimal Vector Selection Principle (2023)
Journal Article

The Dual–Vector model predictive control (DV–MPC) method can improve the steady–state control performance of motor drives compared to using the single–vector method in one switching cycle. However, this performance enhancement generally increases the... Read More about Enhanced Dual–Vector Model Predictive Control for PMSM Drives Using the Optimal Vector Selection Principle.