Fractional-order electromagnetic modeling and identification for PMSM servo system

Area of Science:

• Electrical Engineering
• Control Systems
• Electromagnetics

Background:

• Accurate electromagnetic models are crucial for optimizing controller tuning in high-performance servo systems.
• Existing models may not fully capture the complexities of permanent magnet synchronous motor (PMSM) servo systems, leading to identification errors.

Purpose of the Study:

• To propose a fractional-order electromagnetic model for PMSM servo systems.
• To develop a methodology for identifying this fractional-order model.
• To address and compensate for voltage source inverter nonlinearity impacting model accuracy.

Main Methods:

• Development of a fractional-order electromagnetic model for PMSM.
• Analysis of voltage source inverter nonlinearity and its effect on system identification.
• Proposal of an improved inverter nonlinearity model and compensation technique.
• Experimental validation using open-loop and closed-loop tests.

Main Results:

• The proposed fractional-order electromagnetic model with time delay demonstrates higher accuracy compared to existing models.
• Experimental results verify the effectiveness of the proposed inverter nonlinearity modeling and compensation scheme.
• Improved accuracy in model parameter identification is achieved.

Conclusions:

• Fractional-order modeling provides a more accurate representation of PMSM servo systems.
• Accounting for inverter nonlinearity is essential for precise model identification.
• The proposed methods enhance the performance and reliability of PMSM servo systems.