CBF-DOB-Based Current-Constrained Control for PMSM Systems Subject to Unmatched Disturbances

This article addresses the speed regulation problem of permanent magnet synchronous motor (PMSM) with overcurrent protection and time-varying disturbances. A novel safety-critical robust control algorithm is developed with control barrier function (CBF) and disturbance observers (DOBs). Two disturbance observers are first utilized to estimate lumped disturbances caused by external load torques and parameter uncertainties. Then, a safety-related CBF with disturbance compensation mechanism is designed to guarantee the overcurrent protection and robust performance of PMSM. Finally, the CBF-DOB based safe controller can be obtained by solving a quadratic program (QP) with the sliding mode control (SMC) integrated as a nominal controller. Numerical examples are extensively conducted to demonstrate the promising benefits of the proposed control method.

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Publication Details

Published
2024-11-04
DOI
https://doi.org/10.1109/ieacon61321.2024.10797337
Primary Topic
Iterative Learning Control Systems
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
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article

CBF-DOB-Based Current-Constrained Control for PMSM Systems Subject to Unmatched Disturbances

Zhongding Zhang, Jun Yang, Cong Li, Zuo Wang
Iterative Learning Control Systems
article

CBF-DOB-Based Current-Constrained Control for PMSM Systems Subject to Unmatched Disturbances

Zhongding Zhang, Jun Yang, Cong Li, Zuo Wang
article en

Abstract

This article addresses the speed regulation problem of permanent magnet synchronous motor (PMSM) with overcurrent protection and time-varying disturbances. A novel safety-critical robust control algorithm is developed with control barrier function (CBF) and disturbance observers (DOBs). Two disturbance observers are first utilized to estimate lumped disturbances caused by external load torques and parameter uncertainties. Then, a safety-related CBF with disturbance compensation mechanism is designed to guarantee the overcurrent protection and robust performance of PMSM. Finally, the CBF-DOB based safe controller can be obtained by solving a quadratic program (QP) with the sliding mode control (SMC) integrated as a nominal controller. Numerical examples are extensively conducted to demonstrate the promising benefits of the proposed control method.

Loughborough University (GB), Southeast University (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation, Natural Science Foundation of Jiangsu Province
Climate action
Openalex Percentile: Top 71%
Iterative Learning Control Systems
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