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Active disturbance rejection controller for smooth speed control of electric drives using adaptive generalized integrator extended state observer

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posted on 2022-12-19, 09:30 authored by Yuefei Zuo, Jingwei Zhu, Wenhao Jiang, Shuangchun Xie, Xiaoyong Zhu, Wen-Hua ChenWen-Hua Chen, Christopher HT Lee

To suppress the torque ripple for smooth speed control of electric drives, active disturbance rejection (ADR) controller based on generalized integrator (GI) extended state observer (ESO) (GIESO) is developed in this paper. Deadbeat active disturbance rejection controller is employed to control the current, allowing the current control algorithm to be simplified. An adaptive GIESO is developed to address the instability problem caused by the two-step delay in the current control loop.

Based on the system stability analysis, the design guideline for the adaptive resonant gain is determined. The proposed adaptive GIESO allows the system to be stable across the entire speed range while suppressing speed ripple to within 1 r/min.

Funding

National Research Foundation (NRF) Singapore under its NRF Fellowship Grant NRF-NRFF12-2020-0003

History

School

  • Aeronautical, Automotive, Chemical and Materials Engineering

Department

  • Aeronautical and Automotive Engineering

Published in

IEEE Transactions on Power Electronics

Volume

38

Issue

4

Pages

4323 - 4334

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Version

  • AM (Accepted Manuscript)

Rights holder

© IEEE

Publisher statement

© 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Acceptance date

2022-11-28

Publication date

2022-12-01

Copyright date

2022

ISSN

0885-8993

eISSN

1941-0107

Language

  • en

Depositor

Prof Wen-Hua Chen. Deposit date: 16 December 2022

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