Model-free Predictive Current Control Based On Maximum Torque Per Ampere for PMSM
ID:48 View Protection:PRIVATE Updated Time:2023-06-13 16:53:40 Hits:1118 Oral Presentation

Start Time:2023-06-18 16:20(Asia/Shanghai)

Duration:20min

Session:S Oral Session » S4Oral Session 7 & Oral Session 10

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Abstract
This paper proposed a model-free predictive control based on a maximum torque per ampere. The dynamic model of the permanent magnet synchronous motor is used to derive the expression of electromagnetic torque. Using the maximum torque per ampere control method the minimum current reference is derived. To achieve a robust performance under parameter changes and external disturbances influencing the permanent magnet synchronous motor, a model-free predictive control based on an ultra-local model and an extended state observer is proposed. The simulation results showed that compared with the classic linear controller, the proposed control strategy ensures smaller speed and torque ripples and better robustness under parameter mismatches and disturbance.
Keywords
Model-free predictive current control, extended state observer, maximum torque per ampere, ultra-local model
Speaker
Xudong Guo
Fuzhou University

My name is Guo Xudong. I am studying for my master’s degree in the School of Electrical Engineering and Automation at Fuzhou University. My Current research field is model-free predictive control of permanent magnet synchronous motors.

Tao Jin
Fuzhou University

Jose Rodriguez
Universidad San Sebastian

Jinquan Tang

Mon-Nzongo Daniel Legrand

Ipoum-Ngome Paul Gistain

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    Jun 16

    2023

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    Jun 19

    2023

  • Jun 15 2023

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