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Disturbance-observer-based speed control for SPMSM drives using modified super-twisting algorithm and extended state observer
Authors:Yong-Chao Liu  Salah Laghrouche  Daniel Depernet  Abdoul N'Diaye  Abdesslem Djerdir  Maurizio Cirrincione
Affiliation:1. Energy Department, FEMTO-ST Institute (UMR 6174), CNRS, UTBM, Université Bourgogne Franche-Comté, Belfort, France;2. Energy Department, FEMTO-ST Institute (UMR 6174), CNRS, UTBM, Université Bourgogne Franche-Comté, Belfort, France

Contribution: Resources, Software, Writing - review & editing;3. Energy Department, FEMTO-ST Institute (UMR 6174), CNRS, UTBM, Université Bourgogne Franche-Comté, Belfort, France

Contribution: Supervision, Writing - review & editing;4. Energy Department, FEMTO-ST Institute (UMR 6174), CNRS, UTBM, Université Bourgogne Franche-Comté, Belfort, France

Contribution: Funding acquisition, Writing - review & editing

Abstract:To address the robust speed control problem of the surface-mounted permanent-magnet synchronous motor (SPMSM) drive, a novel composite speed controller (CSC) is proposed, which consists of the modified super-twisting sliding-mode SC (STSM-SC) and the extended state observer (ESO). Regarding the motion dynamics of the SPMSM drive, the unmodeled dynamics, endogenous, and exogenous disturbances are lumped together as the total disturbance. The ESO-based feedforward compensation mechanism is used to deal with the total disturbance for the robustness improvement of the speed control achieved by the modified STSM-SC-based feedback regulation mechanism. On the basis of the field-oriented control strategy, performance comparisons of the standard STSM-SC, the ESO-based standard STSM-SC, the modified STSM-SC, and the proposed CSC are carried out on a suitably developed experimental setup. The experimental results are presented to validate the superiority of the proposed CSC.
Keywords:disturbance-observer-based control  extended state observer  permanent-magnet synchronous motor  sliding-mode control  speed control  super-twisting algorithm
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