Fixed-Time Adaptive Extended State Observer-Based Enhanced ADRC for Electric Motor Drives

In order to achieve fast convergence of the estimated state and improve the estimation accuracy, a fixed-time adaptive extended state observer (FAESO) is developed for electric motor drives within the active disturbance rejection control (ADRC) framework. First of all, an error adaptive arctangent function is introduced in the design of the FAESO to dynamically improve the lumped disturbance estimation performance of the motor mechanical dynamics. Then, the fixed-time convergence property of the studied FAESO is demonstrated based on the homogeneous theory and Lyapunov function. After the disturbance is estimated quickly and accurately, the error feedback control law is presented to achieve disturbance rejection of the speed loop. The proposed scheme improves the estimation accuracy and convergence rate and enhances the disturbance rejection performance. Finally, the validity and superiority of the proposed FAESO-based enhanced ADRC are verified through three sets of comparative simulation results.

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Publication Details

Journal
IEEE Transactions on Circuits & Systems II Express Briefs
Published
2025-03-07
DOI
https://doi.org/10.1109/tcsii.2025.3549070
Citations
2
Primary Topic
Iterative Learning Control Systems
Type
article
Field-Weighted Citation Impact
2.43

Funders

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article

Fixed-Time Adaptive Extended State Observer-Based Enhanced ADRC for Electric Motor Drives

Yongting Deng, Yiming Shen, Haiyang Cao, Christopher H. T. Lee et al.
2 citations
IEEE Transactions on Circuits & Systems II Express Briefs
Iterative Learning Control Systems
2.43
article

Fixed-Time Adaptive Extended State Observer-Based Enhanced ADRC for Electric Motor Drives

Yongting Deng, Yiming Shen, Haiyang Cao, Christopher H. T. Lee, Xiufeng Liu, Yang Liu
article en
2 citations

Abstract

In order to achieve fast convergence of the estimated state and improve the estimation accuracy, a fixed-time adaptive extended state observer (FAESO) is developed for electric motor drives within the active disturbance rejection control (ADRC) framework. First of all, an error adaptive arctangent function is introduced in the design of the FAESO to dynamically improve the lumped disturbance estimation performance of the motor mechanical dynamics. Then, the fixed-time convergence property of the studied FAESO is demonstrated based on the homogeneous theory and Lyapunov function. After the disturbance is estimated quickly and accurately, the error feedback control law is presented to achieve disturbance rejection of the speed loop. The proposed scheme improves the estimation accuracy and convergence rate and enhances the disturbance rejection performance. Finally, the validity and superiority of the proposed FAESO-based enhanced ADRC are verified through three sets of comparative simulation results.

IEEE Transactions on Circuits & Systems II Express BriefsVol. 72(5)
Nanyang Technological University (SG), Changchun Institute of Optics, Fine Mechanics and Physics (CN)
National Natural Science Foundation of China, Youth Innovation Promotion Association of the Chinese Academy of Sciences, Jilin Province Key R&D Plan Project
Affordable and clean energy
Openalex Percentile: Top 13%
Iterative Learning Control Systems
2.43
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