Extended State Observer-Based Robust Model Predictive Velocity Control for Permanent Magnet Synchronous Motor

Lee, Eunji; Gui, Yonghao; You, Sesun; Moon, Jun; Kim, Wonhee

doi:10.1109/ACCESS.2025.3555245

Extended State Observer-Based Robust Model Predictive Velocity Control for Permanent Magnet Synchronous Motor

Journal Article · Fri Mar 28 04:00:00 EDT 2025 · IEEE Access

DOI:https://doi.org/10.1109/ACCESS.2025.3555245· OSTI ID:2573271

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Chung-Ang Univ., Seoul (Korea, Republic of)
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Keimyung Univ., Daegu (Korea, Republic of)
Hanyang Univ., Seoul (Korea, Republic of)

This article proposes an extended state observer based robust model predictive velocity control to decrease system prediction error under parameter uncertainties for permanent magnet synchronous motor (PMSM). We develop a new PMSM model that consists of velocity and acceleration to lump the system information and an external disturbance into a disturbance. The extended state observer (ESO) is designed to estimate the velocity, acceleration, and disturbance. By estimating the state variables and disturbance using the ESO, the model predictive control (MPC) finds the optimal control input by predicting future system behavior. Additionally, the direct current controller is designed so that the direct current converges to zero. Because the proposed method is not designed based on the cascade structure from the viewpoint of velocity control, the optimization control for the velocity and currents can be defined. Thus, the proposed method is robust against external disturbances and parameter uncertainties owing to feedback linearization, state feedback, and ESO-based MPC using the acceleration PMSM model. The proposed control algorithm was experimentally verified and it showed improved velocity tracking performance compared with ESO-based MPC using the conventional PMSM model.

View Accepted Manuscript (DOE)

Research Organization:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Organization:: USDOE; Korean Government of the Ministry of Science and Information and Communication Technology (MSIT)

Grant/Contract Number:: AC05-00OR22725

OSTI ID:: 2573271

Journal Information:: IEEE Access, Journal Name: IEEE Access Vol. 13; ISSN 2169-3536

Publisher:: IEEECopyright Statement

Country of Publication:: United States

Language:: English

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