Current disturbance compensation of continuous model predictive control scheme for PMSMs.

Area of Science:

• Electrical Engineering
• Control Systems
• Power Electronics

Background:

• Permanent magnet synchronous motors (PMSMs) are widely used in various applications.
• Operational limitations of digital chips introduce control delays.
• External environmental factors cause variations in PMSM parameters.

Purpose of the Study:

• To analyze control delays and parameter variations in PMSMs.
• To develop advanced controllers for suppressing current disturbances.
• To investigate controller parameter influence and stability for practical implementation.

Main Methods:

• A uniform approach to transform control delays and parameter variations into current disturbances.
• Design of various sliding mode model predictive controllers (SMM-PCs).
• Analysis of core controller parameters' influence on current disturbances and adaptability to parameter mismatches.
• Examination of global stability conditions for controller realization.

Main Results:

• The proposed controllers effectively suppress current disturbances caused by control delays and parameter variations.
• The study provides insights into the impact of controller parameters on disturbance suppression.
• Experimental validation confirms the successful optimization of current disturbances.

Conclusions:

• The developed SMM-PCs offer a robust solution for mitigating operational challenges in PMSMs.
• The findings contribute to improved performance and reliability of PMSM control systems.
• The research validates the effectiveness of the proposed methods in real-world experimental settings.