Unified Pilot-Induced Oscillation Theory, Volume 3. PIO Analysis Using Multivariable Methods

This work was conducted as part of a USAF initiative to develop a comprehensive theory to predict pilot-induced oscillation (PIO) tendencies due to the combined effect of all influencing elements. A PIO is a very complicated phenomenon stemming from a dynamic interaction between the pilot and the ai...

Full description

Saved in:
Bibliographic Details
Main Authors: Anderson, Mark R, Page, Anthony B
Format: Report
Language:English
Subjects:
ADAPTIVE CONTROL SYSTEMS
AERIAL RUDDERS
AERODYNAMIC CONFIGURATIONS
AERODYNAMIC FORCES
AERODYNAMIC STABILITY
Aerodynamics
AILERONS
ALGORITHMS
ATTITUDE(INCLINATION)
AVIATION SAFETY
CLOSED LOOP SYSTEMS
COMPUTERIZED SIMULATION
DATA BASES
DYNAMIC PRESSURE
FIGHTER AIRCRAFT
FLIGHT CONTROL SYSTEMS
FLIGHT MANEUVERS
FLIGHT TESTING
HUMAN FACTORS ENGINEERING
Human Factors Engineering & Man Machine System
LIFTING BODIES
M2-F2 AIRCRAFT
MAN MACHINE SYSTEMS
MATHEMATICAL MODELS
Military Aircraft Operations
MULTIVARIATE ANALYSIS
OPTIMIZATION
OSCILLATION
PE62201F
PILOTS
PIO(PILOT INDUCED OSCILLATIONS)
PITCH(MOTION)
SOFTWARE ENGINEERING
SYSTEMS ANALYSIS
UNCERTAINTY
WUWL2403059A
YAW
YF-22A AIRCRAFT
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This work was conducted as part of a USAF initiative to develop a comprehensive theory to predict pilot-induced oscillation (PIO) tendencies due to the combined effect of all influencing elements. A PIO is a very complicated phenomenon stemming from a dynamic interaction between the pilot and the aircraft. When tight control is required of the pilot, an undesired oscillation can result. However, the adaptive nature of the human pilot makes such oscillations difficult to predict. This report describes an analysis method capable of predicting PIO tendencies due to several simultaneous dynamic factors. A unified approach involving pilot modeling, stability robustness analysis, and multivariable describing function analysis is applied to the problem of identifying aircraft with PIO tendencies. The approach is shown to have ties to existing PIO criteria and is successfully applied to the prediction of PIO tendencies of the M2-F2 lifting body.