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Related Experiment Video

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High-speed Particle Image Velocimetry Near Surfaces

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A sliding mode speed and position observer for a surface-mounted PMSM.

Yong Chen¹, Meng Li¹, Yu-Wen Gao¹

¹School of Automation and Engineering and, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, China; Institute of Electric Vehicle Driving System and Safety Technology, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, China.

ISA Transactions

|December 12, 2018

Summary

This study introduces an improved sliding mode observer (SMO) for Surface-Mounted Permanent Magnet Synchronous Motors (SM-PMSMs). The new method enhances speed and position observation accuracy by suppressing harmonics and chattering.

Keywords:

Adaptive synchronization filter Quadrature phase-lock loop Sliding mode observer Surface-mounted PMSM

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Area of Science:

Electrical Engineering
Control Systems

Background:

Surface-Mounted Permanent Magnet Synchronous Motors (SM-PMSMs) require accurate speed and position estimation for optimal performance.
Traditional observers can suffer from harmonics and chattering, affecting estimation accuracy.

Purpose of the Study:

To propose an improved sliding mode observer (SMO) for enhanced speed and position observation in SM-PMSMs.
To suppress estimation harmonics and chattering for higher accuracy.

Main Methods:

An adaptive synchronization filter (ASF) is proposed, utilizing feedback rotor position estimation from a Quadrature Phase-Locked Loop (QPLL).
The ASF extracts the fundamental signal of the back electromotive force (back-EMF).
A QPLL then calculates rotor position and speed based on the fundamental back-EMF signal.

Main Results:

The proposed observer effectively suppresses estimated harmonics and chattering.
Improved accuracy in speed and position observation is achieved.

Conclusions:

The developed observer, integrating ASF and QPLL, demonstrates effectiveness and feasibility.
This approach offers a significant improvement for SM-PMSM control applications.