Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence of...
Control Systems: Applications01:25

Control Systems: Applications

Electrical engineering plays a pivotal role in our daily lives, with control systems at the heart of many applications, from home appliances to sophisticated space shuttles. Control systems manage and regulate the behavior of devices and processes, ensuring they function safely, correctly, and efficiently.
In modern vehicles, control systems manage various functions to enhance performance and safety. The steering wheel and accelerator are primary inputs in a car's control system. The direction...
Controller Configurations01:22

Controller Configurations

Controller configurations are crucial in a car's cruise control system because they manage speed over time to maintain a consistent pace regardless of road conditions, thereby meeting design goals. In traditional control systems, fixed-configuration design involves predetermined controller placement. System performance modifications are known as compensation.
Control-system compensation involves various configurations, most commonly series or cascade compensation, in which the controller aligns...
Vector Functions and Motion: Problem Solving01:30

Vector Functions and Motion: Problem Solving

Accurate position tracking is fundamental to the safe and effective operation of unmanned aerial vehicles (UAVs), particularly during precision maneuvers near complex structures. In this scenario, a drone is programmed to perform a high-precision inspection of a vertical structure, starting at position ((x, y, z) = (3, 0, 0)), with an initial velocity oriented in the positive z-direction. The trajectory of the drone is governed by a time-dependent acceleration function a(t), which is predefined...
Control Systems01:10

Control Systems

Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
At the heart...
Absolute Motion Analysis- General Plane Motion01:24

Absolute Motion Analysis- General Plane Motion

Visualize a drone, with its propellers spinning rapidly, hovering mid-air. The fascinating movements and operations of this drone can be comprehended by applying the principle of general plane motion.
As the drone's propellers rotate, an upward force is generated that counteracts the force of gravity, enabling the drone to lift off from the ground. This initial movement of the drone is along a straight path, representing a form of translational motion. In this phase, every point on the drone...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Accuracy and Similarity of Team Situation Awareness in Simulated Air Combat.

Aerospace medicine and human performance·2023
Same author

Direct inoculation method for identification and antimicrobial susceptibility testing using matrix-assisted laser desorption ionization-time of flight mass spectrometry and both the Vitek 2 and MicroScan Walkaway 96 Plus systems.

Proceedings (Baylor University. Medical Center)·2023
Same author

Normative Performance Measurement in Simulated Air Combat.

Aerospace medicine and human performance·2021
Same author

Team situation awareness accuracy measurement technique for simulated air combat - Curvilinear relationship between awareness and performance.

Applied ergonomics·2021
Same author

Using neural networks to predict high-risk flight environments from accident and incident data.

International journal of occupational safety and ergonomics : JOSE·2021
Same author

Third-Culture Kid Pilots and Multi-Cultural Identity Effects on Pilots' Attitudes.

Aerospace medicine and human performance·2019

Related Experiment Video

Updated: Jun 28, 2026

Evaluating Flight Performance and Eye Movement Patterns Using Virtual Reality Flight Simulator
03:49

Evaluating Flight Performance and Eye Movement Patterns Using Virtual Reality Flight Simulator

Published on: May 19, 2023

Combining control input with flight path data to evaluate pilot performance in transport aircraft.

Matt Ebbatson1, Don Harris, John Huddlestone

  • 1Cranfield University, Bedford, Bedfordshire, UK.

Aviation, Space, and Environmental Medicine
|November 13, 2008
PubMed
Summary

Evaluating pilot performance in large aircraft requires assessing both flight path and control inputs. Frequency analysis of control inputs reveals distinct strategies, highlighting the need for comprehensive performance metrics.

More Related Videos

Eye Tracking During A Complex Aviation Task For Insights Into Information Processing
07:48

Eye Tracking During A Complex Aviation Task For Insights Into Information Processing

Published on: April 4, 2025

Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments
08:36

Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments

Published on: August 8, 2019

Related Experiment Videos

Last Updated: Jun 28, 2026

Evaluating Flight Performance and Eye Movement Patterns Using Virtual Reality Flight Simulator
03:49

Evaluating Flight Performance and Eye Movement Patterns Using Virtual Reality Flight Simulator

Published on: May 19, 2023

Eye Tracking During A Complex Aviation Task For Insights Into Information Processing
07:48

Eye Tracking During A Complex Aviation Task For Insights Into Information Processing

Published on: April 4, 2025

Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments
08:36

Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments

Published on: August 8, 2019

Area of Science:

  • Aviation Psychology
  • Human Factors Engineering
  • Aerospace Engineering

Background:

  • Traditional pilot performance assessment relies on flight path error metrics.
  • These metrics may be insufficient for large jet transport aircraft.
  • Frequency-based control input analysis offers supplementary insights.

Purpose of the Study:

  • To investigate the effectiveness of different performance metrics in evaluating pilot performance.
  • To compare pilot control strategies during symmetric and asymmetric approaches.
  • To determine the necessity of combined flight path and control input analysis.

Main Methods:

  • Utilized a flight simulator with pilots undergoing jet transport conversion.
  • Collected flight path data and analyzed deviations from the optimal path.
  • Applied power spectral density measures to analyze flight control inputs.

Main Results:

  • Flight path metrics showed no significant performance differences between approach types.
  • Control input frequency analysis revealed distinct pilot strategies in pitch and yaw.
  • Pilots exhibited different control behaviors depending on the approach conditions.

Conclusions:

  • Comprehensive pilot performance evaluation necessitates parallel analysis of flight path and control inputs.
  • Assessing both the product (flight path) and process (control input) provides a fuller picture.
  • Frequency domain analysis of control inputs is crucial for understanding pilot strategies in large aircraft.