MétaCan
Menu
Back to cohort
Record W7027851683

Design of small highly maneuverable airships

2012· dissertation· en· W7027851683 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueeScholarship@McGill (McGill) · 2012
Typedissertation
Languageen
FieldEngineering
TopicAerospace Engineering and Energy Systems
Canadian institutionsnot available
Fundersnot available
KeywordsSizingActuatorMechatronicsControl theory (sociology)AerospaceFlight control surfacesOptimal control
DOInot available

Abstract

fetched live from OpenAlex

The aim of this thesis is to develop the theoretical framework that integrates airship size minimization, maneuverability quantification and optimal actuator placement for small highly maneuverable airship design. The size minimization method is proposed in the first part of the thesis. The sizing flow chart is provided along with a comprehensive description and computationof four principle subsystems in airship sizing. The relationships between different subsystems are also illustrated. Novel technologies that could be applied for airship subsystems are discussed and included in the proposed sizing methods. The sizing method is validated by computing the minimum size of non-rigid airships with and without fins. Based on the research to date conducted on ships, aircrafts and airplanes, the airship maneuverability quantification method is proposed in the second part of this thesis. The maneuver tests used to assess airship maneuverability include straightforward maneuver, turning maneuver and zig-zag maneuver. This maneuverability quantification method is first applied to the small highly maneuverable airship called ALTAV available in the Aerospace Mechatronics Lab at McGill. Based on above suggested maneuvering tests, four maneuvers are designed to test ALTAV's performance with different actuator locations: the 360◦turning maneuver using PID control, the zig-zag maneuver using PID control, the straight forward maneuver using optimal control and 180◦turning maneuver using optimal control. In the third part of this thesis, aiming to understand the influence of actuator locations and find the optimal actuator locations to provide the best maneuverability for ALTAV, the effect of actuator locations on all the elements in the dynamics model of ALTAV are analyzed, especially the effect on the entries of the inverse mass matrix are formulated through symbolic equations. Then, in order to explore the effect of actuator locations on straight forward maneuver and turning maneuver, the control forces and moments, the maximum available accelerations and angular accelerations are analyzed. The cost function used to find the optimal actuator locations is proposed based on these analysis and the optimal actuator locations fit for equal importance of longitudinal and lateral maneuvers are selected at the end of the thesis.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.613
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.019
GPT teacher head0.193
Teacher spread0.174 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it