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Abstract
In this paper, a complete attitude-servo dynamics model, including the deflection dynamics of the slider, is established to address the structural parameter design problem for a class of fixed-trim high-mass-ratio moving mass reentry vehicles (MMRVs). The dynamics coupling analysis reveals that the deflection of the slider will affect the yaw attitude while used for roll-attitude actuation, which could lead to a decrease in guidance performance and even instability of attitude control. In concern with the relation between system performance and configuration design, the steady-state analytical expression of the deflection-attitude coupled nonlinear system is derived via the multiple scales method, and the amplitude-frequency response characteristics are analyzed under different configuration parameters. On this basis, a configuration design scheme for fixedtrim high-mass-ratio MMRVs with consideration of roll-yaw coupling is provided, where the configuration parameters can be designed to reduce the yaw interference caused by roll maneuver and thereby improve the system performance. © The Institution of Engineering & Technology 2023.
| Original language | English |
|---|---|
| Title of host publication | 3rd International Conference on Control Theory and Applications (ICoCTA 2023) |
| Publisher | The Institution of Engineering and Technology |
| Pages | 146-150 |
| ISBN (Electronic) | 978-1-83953-982-4 |
| DOIs | |
| Publication status | Published - Oct 2023 |
| Event | 3rd International Conference on Control Theory and Applications (ICoCTA 2023) - Xiamen, China Duration: 20 Oct 2023 → 22 Oct 2023 https://www.icocta.org/his23 |
Publication series
| Name | IET Conference Proceedings |
|---|---|
| Publisher | Institution of Engineering and Technology |
| ISSN (Print) | 2732-4494 |
Conference
| Conference | 3rd International Conference on Control Theory and Applications (ICoCTA 2023) |
|---|---|
| Place | China |
| City | Xiamen |
| Period | 20/10/23 → 22/10/23 |
| Internet address |
Funding
This work was supported in part by Hong Kong RGC under the project CityU 11203321 and in part by the City University of Hong Kong under Project 9380054
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GRF: Localization and Detection toward Securing Networked Control Systems
CHEN, J. (Principal Investigator / Project Coordinator)
1/01/22 → …
Project: Research