Multi-Objective Optimal Tuning Framework of the Entire PMSM-Driven Servo System Considering High-Frequency Disturbance Suppression
A universal PMSM-driven servo system comprises cascaded PI controllers with a low-pass speed filter for high-frequency disturbance suppression. However, the speed filter and the current loop have received limited attention during the tuning of the speed loop, potentially leading to high-frequency fl...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10843219/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832590312480964608 |
|---|---|
| author | Zihan Tang Liping Wang Jihui Han Dong Wang Xuekun Li |
| author_facet | Zihan Tang Liping Wang Jihui Han Dong Wang Xuekun Li |
| author_sort | Zihan Tang |
| collection | DOAJ |
| description | A universal PMSM-driven servo system comprises cascaded PI controllers with a low-pass speed filter for high-frequency disturbance suppression. However, the speed filter and the current loop have received limited attention during the tuning of the speed loop, potentially leading to high-frequency fluctuations or significant resonances in the entire servo system under disturbances. This paper proposes a novel framework of multi-objective optimal tuning for the entire PMSM-driven servo system, focusing on suppressing high-frequency disturbances. The controller parameters to be tuned include the PI gains of the speed loop, the filter time constant and the equivalent time constant of the current loop. The closed-loop cut-off frequency of disturbances is established as a constraint to optimize the speed filter, and the current loop time constant is selected as an objective to improve control smoothness. Experimental results demonstrate that the proposed method can reduce the high-frequency fluctuations of speed and current without causing system resonances. |
| format | Article |
| id | doaj-art-233add0a17554ebdb5a1d21fb26eff8e |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-233add0a17554ebdb5a1d21fb26eff8e2025-01-24T00:01:59ZengIEEEIEEE Access2169-35362025-01-0113119571196810.1109/ACCESS.2025.352998310843219Multi-Objective Optimal Tuning Framework of the Entire PMSM-Driven Servo System Considering High-Frequency Disturbance SuppressionZihan Tang0https://orcid.org/0000-0001-6529-7632Liping Wang1https://orcid.org/0000-0001-9398-4157Jihui Han2https://orcid.org/0000-0002-6969-2573Dong Wang3https://orcid.org/0000-0002-4941-6862Xuekun Li4https://orcid.org/0000-0001-5090-0873Department of Mechanical Engineering, Institute of Manufacturing Engineering, Tsinghua University, Beijing, ChinaDepartment of Mechanical Engineering, Institute of Manufacturing Engineering, Tsinghua University, Beijing, ChinaDepartment of Mechanical Engineering, Institute of Manufacturing Engineering, Tsinghua University, Beijing, ChinaDepartment of Mechanical Engineering, Institute of Manufacturing Engineering, Tsinghua University, Beijing, ChinaDepartment of Mechanical Engineering, Institute of Manufacturing Engineering, Tsinghua University, Beijing, ChinaA universal PMSM-driven servo system comprises cascaded PI controllers with a low-pass speed filter for high-frequency disturbance suppression. However, the speed filter and the current loop have received limited attention during the tuning of the speed loop, potentially leading to high-frequency fluctuations or significant resonances in the entire servo system under disturbances. This paper proposes a novel framework of multi-objective optimal tuning for the entire PMSM-driven servo system, focusing on suppressing high-frequency disturbances. The controller parameters to be tuned include the PI gains of the speed loop, the filter time constant and the equivalent time constant of the current loop. The closed-loop cut-off frequency of disturbances is established as a constraint to optimize the speed filter, and the current loop time constant is selected as an objective to improve control smoothness. Experimental results demonstrate that the proposed method can reduce the high-frequency fluctuations of speed and current without causing system resonances.https://ieeexplore.ieee.org/document/10843219/Optimization frameworkmulti-objective optimizationcontroller tuningPMSMservo systemspeed filter |
| spellingShingle | Zihan Tang Liping Wang Jihui Han Dong Wang Xuekun Li Multi-Objective Optimal Tuning Framework of the Entire PMSM-Driven Servo System Considering High-Frequency Disturbance Suppression IEEE Access Optimization framework multi-objective optimization controller tuning PMSM servo system speed filter |
| title | Multi-Objective Optimal Tuning Framework of the Entire PMSM-Driven Servo System Considering High-Frequency Disturbance Suppression |
| title_full | Multi-Objective Optimal Tuning Framework of the Entire PMSM-Driven Servo System Considering High-Frequency Disturbance Suppression |
| title_fullStr | Multi-Objective Optimal Tuning Framework of the Entire PMSM-Driven Servo System Considering High-Frequency Disturbance Suppression |
| title_full_unstemmed | Multi-Objective Optimal Tuning Framework of the Entire PMSM-Driven Servo System Considering High-Frequency Disturbance Suppression |
| title_short | Multi-Objective Optimal Tuning Framework of the Entire PMSM-Driven Servo System Considering High-Frequency Disturbance Suppression |
| title_sort | multi objective optimal tuning framework of the entire pmsm driven servo system considering high frequency disturbance suppression |
| topic | Optimization framework multi-objective optimization controller tuning PMSM servo system speed filter |
| url | https://ieeexplore.ieee.org/document/10843219/ |
| work_keys_str_mv | AT zihantang multiobjectiveoptimaltuningframeworkoftheentirepmsmdrivenservosystemconsideringhighfrequencydisturbancesuppression AT lipingwang multiobjectiveoptimaltuningframeworkoftheentirepmsmdrivenservosystemconsideringhighfrequencydisturbancesuppression AT jihuihan multiobjectiveoptimaltuningframeworkoftheentirepmsmdrivenservosystemconsideringhighfrequencydisturbancesuppression AT dongwang multiobjectiveoptimaltuningframeworkoftheentirepmsmdrivenservosystemconsideringhighfrequencydisturbancesuppression AT xuekunli multiobjectiveoptimaltuningframeworkoftheentirepmsmdrivenservosystemconsideringhighfrequencydisturbancesuppression |