Abstract
In mechanical drive systems, existing resonance suppression strategies and autotuning methods often rely on accurate system models. This paper completely describes a non-parametric method to realize the identification of resonance/anti-resonance frequency and characteristic peaks. First, the settings of the excitation signal and loop configuration are discussed. Correlation analysis method is adopted for data processing. After filtering, the resonance/anti-resonance frequency and characteristic peaks are determined through the combined analysis of magnitude and phase frequency characteristics. The results of experiment show that this method can effectively identify the resonance/anti-resonance frequency and non-mechanical properties.
| Original language | English |
|---|---|
| Title of host publication | 2023 IEEE 4th China International Youth Conference on Electrical Engineering, CIYCEE 2023 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9798350305562 |
| DOIs | |
| State | Published - 2023 |
| Externally published | Yes |
| Event | 4th IEEE China International Youth Conference on Electrical Engineering, CIYCEE 2023 - Chengdu, China Duration: 8 Dec 2023 → 10 Dec 2023 |
Publication series
| Name | 2023 IEEE 4th China International Youth Conference on Electrical Engineering, CIYCEE 2023 |
|---|
Conference
| Conference | 4th IEEE China International Youth Conference on Electrical Engineering, CIYCEE 2023 |
|---|---|
| Country/Territory | China |
| City | Chengdu |
| Period | 8/12/23 → 10/12/23 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- PRBS
- detection of resonance frequency
- identification
- mechanical drive system
- non-parametric method
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