Control designs for the Canadian large adaptive radiotelescope concept
Bibliographic record
Abstract
This thesis is a product of our collaboration with the National Research Council of Canada's astronomy laboratory (Dominion Radio Astrophysical Observatory) to study the control of a new radio-telescope design: the Canadian Large Adaptive Reflector. The first part consists in an identification of a parabolic reflector's direct and inverse kinematics. This reflector is made of multiple triangular sections, each of them supported by hydraulic actuators from the ground. Kinematics resulted in the creation of a trajectory generator to issue commands to the actuators. Second part consists in direct modeling and model identification of a tethered aerostat system, in order to identify the bandwidth of this system. The cable system's purpose is to hold the receiver to the parabolic reflector's focal point. Once the model is validated, robust and LPV (linear parameter-varying) controllers are designed. As the tethered system consists in many cables, the winches reeling cables on the ground affect the whole system dynamics. The model contains parameters varying with the cable lengths. Variations in tether lengths lead to some difficulties in the design of linear robust controllers.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".