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Record W4323566805 · doi:10.9734/bpi/rpst/v6/18537d

Motion Control Strategy for an Electro-hydraulic Control System of a Flying Vehicle

2023· book-chapter· en· W4323566805 on OpenAlexaff
Mohamed Z. Fadel, M. RABIE, Ahmed Youssef

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldEngineering
TopicHydraulic and Pneumatic Systems
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsControl theory (sociology)Hydraulic cylinderPID controllerHydraulic machineryEngineeringServomechanismControl engineeringController (irrigation)Control systemActuatorServoThrustServo controlMotion controlProportional controlComputer scienceMechanical engineeringControl (management)Electrical engineeringRobot

Abstract

fetched live from OpenAlex

The use of Fly-by-Wire (FBW) systems for aeronautical vehicle flight control has continuously increased in recent years. These systems employ electro-hydraulic servo-actuators to position the movable thrust vector controls on spacecraft or airplanes maneuvering surfaces. Electronics and hydraulic power systems have been combined to provide a variety of strong and accurate control systems that save a significant amount of energy and money. In this study, a comprehensive nonlinear mathematical model and a computer simulation program using the MATLAB/SIMULINK package are used to control the motion of an aircraft integrated electro-hydraulic servo-actuator (ISA). The ISA is primarily made up of two distinct active hydraulic power systems that provide it with the necessary power. The investigated ISA includes a twin-symmetrical hydraulic actuation cylinder, two electro-hydraulic servo-valves, and a cleverly constructed set of built-in directional control valves with a feedback system. By obtaining the transient response of the ISA, the output linear motion of the actuating cylinder of the ISA is provided and regulated. By altering the system control settings, a traditional PID controller is created and tuned using Zeigler-approach Nichol's in accordance with the Integral Square Error (ISE) criteria to minimize the difference between the required system output feedback and the desired set input. By using the tuned PID controller, the system's stability and precision needs are guaranteed.

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 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)0.000
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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.961
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.028
GPT teacher head0.228
Teacher spread0.200 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designSimulation or modeling
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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