Back-EMF Based Self-Sensing Vector Control for Ultra-High-Speed Surface Mount PMSM

Anirudh Upadhyaya; Aravind M. Nair; Nathan Petersen; Eric L. Severson

doi:10.1109/ECCE53617.2023.10362770

Back-EMF Based Self-Sensing Vector Control for Ultra-High-Speed Surface Mount PMSM

Anirudh Upadhyaya, Aravind M. Nair, Nathan Petersen, Eric L. Severson

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This paper presents an improved rotor position estimation algorithm for ultra-high-speed surface mount permanent magnet synchronous machines (SPMSM). The proposed approach combines a synchronous frame back-EMF state filter and a motion observer structure to accurately estimate rotor position at speeds above 80 kRPM, where conventional position sensing techniques struggle. The state filter and motion observer are designed directly in the discrete domain considering necessary latch dynamics and computational delays. Simulation results for a 2-pole SPMSM show stable performance and close to zero phase lag position estimation at a fundamental frequency of 2.6 kHz. The implementation ensures stable control performance at sampling to fundamental frequency ratios as low as 5. Experimental validation of the proposed algorithm has been presented. The proposed methodology is a significant advancement toward precise and reliable rotary motion state estimation for ultra-high speed SPMSMs.

Original language	English (US)
Title of host publication	2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	4896-4903
Number of pages	8
ISBN (Electronic)	9798350316445
DOIs	https://doi.org/10.1109/ECCE53617.2023.10362770
State	Published - 2023
Externally published	Yes
Event	2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023 - Nashville, United States Duration: Oct 29 2023 → Nov 2 2023

Publication series

Name	2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023

Conference

Conference	2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023
Country/Territory	United States
City	Nashville
Period	10/29/23 → 11/2/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

back-EMF
observer
permanent magnet motors
self-sensing
sensorless

Access

10.1109/ECCE53617.2023.10362770

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Upadhyaya, A., Nair, A. M., Petersen, N., & Severson, E. L. (2023). Back-EMF Based Self-Sensing Vector Control for Ultra-High-Speed Surface Mount PMSM. In 2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023 (pp. 4896-4903). (2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ECCE53617.2023.10362770

Back-EMF Based Self-Sensing Vector Control for Ultra-High-Speed Surface Mount PMSM. / Upadhyaya, Anirudh; Nair, Aravind M.; Petersen, Nathan et al.
2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 4896-4903 (2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Upadhyaya, A, Nair, AM, Petersen, N & Severson, EL 2023, Back-EMF Based Self-Sensing Vector Control for Ultra-High-Speed Surface Mount PMSM. in 2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023. 2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023, Institute of Electrical and Electronics Engineers Inc., pp. 4896-4903, 2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023, Nashville, United States, 10/29/23. https://doi.org/10.1109/ECCE53617.2023.10362770

Upadhyaya A, Nair AM, Petersen N, Severson EL. Back-EMF Based Self-Sensing Vector Control for Ultra-High-Speed Surface Mount PMSM. In 2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 4896-4903. (2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023). doi: 10.1109/ECCE53617.2023.10362770

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abstract = "This paper presents an improved rotor position estimation algorithm for ultra-high-speed surface mount permanent magnet synchronous machines (SPMSM). The proposed approach combines a synchronous frame back-EMF state filter and a motion observer structure to accurately estimate rotor position at speeds above 80 kRPM, where conventional position sensing techniques struggle. The state filter and motion observer are designed directly in the discrete domain considering necessary latch dynamics and computational delays. Simulation results for a 2-pole SPMSM show stable performance and close to zero phase lag position estimation at a fundamental frequency of 2.6 kHz. The implementation ensures stable control performance at sampling to fundamental frequency ratios as low as 5. Experimental validation of the proposed algorithm has been presented. The proposed methodology is a significant advancement toward precise and reliable rotary motion state estimation for ultra-high speed SPMSMs.",

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Back-EMF Based Self-Sensing Vector Control for Ultra-High-Speed Surface Mount PMSM

Abstract

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Keywords

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