Abstract
This article elaborates on the tension control design of tethered space robots for debris removal. The novel approach is to change the tether natural length via a reel. With only the tension sensing, we leverage a Kalman filter and a recursive least-squares algorithm to estimate the actual length and the debris mass, which are fed back to a model-predictive controller to generate the optimal tangential velocity of the reel. Simulations show that the stiff tether exhibits better tension-tracking performance which is robust to the tumbling debris.
| Original language | English |
|---|---|
| Article number | 8943351 |
| Pages (from-to) | 3028-3043 |
| Number of pages | 16 |
| Journal | IEEE Transactions on Aerospace and Electronic Systems |
| Volume | 56 |
| Issue number | 4 |
| DOIs | |
| State | Published - Aug 2020 |
Keywords
- Active debris removal
- Model predictive control
- System estimation
- Tension control
- Tethered space robot
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