Control strategies for hardware-in-the-loop simulation of flexible space robots
Bibliographic record
Abstract
As a partner in the International Space Station (ISS), Canada is responsible for the verification of all tasks involving the special purpose dextrous manipulator (SPDM). Those verifications cannot be performed using software simulators only since the accuracy of existing contact dynamic models are yet to be confirmed, especially in the real-time mode required for verifying human operated processes. One option is to use a hardware-in-the-loop simulation (HLS), where the space hardware is simulated and the contact dynamics is emulated using a rigid robot performing the tasks. The main difficulty in this approach is the trade-off between the stability of the control loop and good performance. The control of the rigid robot in the HLS is investigated. Simplified linear systems are used to determine the limitations of the classical position-based control when contact occurs. A new control scheme in which the slave robot is driven in acceleration is proposed. Both methods were tested experimentally and the results show the benefit of using this new acceleration control approach.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".