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Active disturbance rejection control of permanent magnet synchronous motor based on Kalman filter

Published: 31 July 2024 Publication History

Abstract

Aiming at the poor observation accuracy of the extended state observer (ESO) in the traditional active disturbance rejection control strategy and the influence of system noise on the observation accuracy of ESO, a Kalman filter based active disturbance rejection control (KF-ADRC) strategy was proposed. The load torque measured by Kalman filter is compensated by feedforward to improve the ESO observation accuracy under large load disturbance. The speed measured by Kalman filter is used as closed-loop feedback to reduce the influence of system noise on ESO observation accuracy. The effectiveness of the proposed scheme is verified by MATLAB/Simulink simulation.

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    PEAI '24: Proceedings of the 2024 International Conference on Power Electronics and Artificial Intelligence
    January 2024
    969 pages
    ISBN:9798400716638
    DOI:10.1145/3674225
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Published: 31 July 2024

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