Abstract
For the beam scanning stage in space laser communication, an IMLQG controller is proposed to regulate a piezo actuated fast steering mirror (FSM) to track a spiral trajectory in this paper. To achieve a high performance, an internal state transition model is first built to describe such a time sequence command. Then, a linear quadratic regulation (LQR) problem is formulated by augmenting the FSM model with the internal model, which however is not solvable in practice. To this end, a discounted factor is further introduced. Moreover, an adaptive Kalman filter is adopted to estimate the state of FSM with unknown measurement noises. Finally, simulations verify the effectiveness and robustness of our proposed method.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2022 Chinese Automation Congress, CAC 2022 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 6119-6124 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781665465335 |
| DOIs | |
| State | Published - 2022 |
| Event | 2022 Chinese Automation Congress, CAC 2022 - Xiamen, China Duration: 25 Nov 2022 → 27 Nov 2022 |
Publication series
| Name | Proceedings - 2022 Chinese Automation Congress, CAC 2022 |
|---|---|
| Volume | 2022-January |
Conference
| Conference | 2022 Chinese Automation Congress, CAC 2022 |
|---|---|
| Country/Territory | China |
| City | Xiamen |
| Period | 25/11/22 → 27/11/22 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- LQG control
- Spiral scanning
- fast steering mirror
- space laser communication
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