PID Nested Higher Order Nonsingular Terminal Sliding Mode Observer for Speed Estimation in PMSM Servo Drive

In this paper, a PID nested higher-order nonsingular terminal sliding mode observer is proposed for speed estimation of Permanent Magnet Synchronous Motor (PMSM). Here, the introduction of PID error embedded into the nonsingular terminal sliding manifold, which is now at higher order, smoothen the observer's control input, leading to significant chattering reduction as well as better accuracy and faster response of the resulted-in back-EMF and rotor's electrical angle estimation. The simulation and experimental results demonstrate the effectiveness and advantages of the proposed approach.

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Published
2024-11-26
DOI
https://doi.org/10.1109/iccais63750.2024.10814193
Primary Topic
Iterative Learning Control Systems
Type
article
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article

PID Nested Higher Order Nonsingular Terminal Sliding Mode Observer for Speed Estimation in PMSM Servo Drive

Thanh-Binh Pham, Nguyen-Vu Truong, Hieu Duc Tran, Ngoc-Tuan Cao Tran et al.
Iterative Learning Control Systems
article

PID Nested Higher Order Nonsingular Terminal Sliding Mode Observer for Speed Estimation in PMSM Servo Drive

Thanh-Binh Pham, Nguyen-Vu Truong, Hieu Duc Tran, Ngoc-Tuan Cao Tran, Yong Feng, Tan-No Nguyen
article en

Abstract

In this paper, a PID nested higher-order nonsingular terminal sliding mode observer is proposed for speed estimation of Permanent Magnet Synchronous Motor (PMSM). Here, the introduction of PID error embedded into the nonsingular terminal sliding manifold, which is now at higher order, smoothen the observer's control input, leading to significant chattering reduction as well as better accuracy and faster response of the resulted-in back-EMF and rotor's electrical angle estimation. The simulation and experimental results demonstrate the effectiveness and advantages of the proposed approach.

Harbin Institute of Technology (CN), Vietnam Academy of Science and Technology (VN)
Vietnam Academy of Science and Technology
Affordable and clean energy
Openalex Percentile: Top 70%
Iterative Learning Control Systems
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