Design of an Electrical Power and Communications System for an Autonomous Underwater Vehicle
Bibliographic record
Abstract
The SQX-500 Autonomous Underwater Vehicle (AUV) is presently under joint development by Marport Canada Inc, the Institute for Ocean Technology of the National Research Council Canada, and Memorial University of Newfoundland. The design of an electrical system for an underwater vehicle provides several challenges unique to the marine environment. In addition, as an autonomous vehicle operating for long durations without human supervision, further design challenges are introduced. This paper will discuss the nature of these various design challenges, and will feature the SQX-500 AUV electrical system design as a case study. Examples of design topics will include the following: - Selection of an AUV energy system, with a focus on Lithium Ion batteries as a power source, and the necessity of “smart” batteries - Communications system architecture, distributed vs. centralized designs, and commonly used standards (Ethernet, RS232, RS485, CANbus, etc.) - RF antenna design challenges for survivability, acoustic and electrical frequency interference issues - Data management in underwater vehicles, local recording of data or transmission of real-time data, bandwidth limitations of communication systems - Power distribution systems, power bus voltage selection, power isolation between sub-systems - Emergency systems architecture including emergency batteries, preservation of critical systems, and emergency power management This paper will also feature a discussion of the advantages and disadvantages of solutions to these design challenges, including lessons learned and recommendations for future underwater vehicle designs.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".