Stabilization System for Mobile Antenna Gimbal based on Dynamic Characteristics Analysis
Bibliographic record
Abstract
최근에 들어 전술환경이 모든 요소들을 네트워크로 연결하는 NCW 환경으로 변화하면서 위성을 이용한 대용량 고속의 위성통신이 매우 중요하게 부각되었다. 고품질의 위성링크를 제공하기 위해서는 플랫폼의 안정화 기술이 선행되어야 한다. 기존의 안정화 제어기술은 주로 PI제어기를 사용하는 선박용이 주류를 이루었다. 이에 비해 보다 더 빠른 응답특성이 요구되는 지상용 단말의 경우 빠른 시간 안에 위성을 추적할 수 있도록 안테나 구동속도가 빨라야 하며, 외란을 감지하는 센서와 감지된 외란을 보상하면서 위성지향을 유지할 수 있도록 하는 알고리즘이 필요하다. 본 연구에서는 안테나 시스템의 동역학 특성을 분석하여 지상용 단말에 적합한 저주파 영역에서 높은 격리도를 갖는 PI2 제어기를 포함하는 안정화 제어루프를 제안한다.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".