Aerospace Control and Guidance Systems Committee

Announcements

You must first log in to access prior meeting presentations, register for a meeting, or nominate some for the Ward Award.

If you do not have a login account, or cannot remember the email address associated with your account, please click on the Application Form link below.

Login

Site Search

Search our site:

Upcoming Events

Photos

Meeting Highlights New!

Subcommittee S

Prior Meetings

Abstracts may be viewed by anyone. Presentations are only available to active members who have logged in.

Meeting 132
(coming soon)

Home

Ward Memorial Award

Planning Advisory Board

Downloads

Constitution and By-Laws

About

History

Contact Us

← Return to agenda

Meeting	ACGS Committee Meeting 119 - Fairborn, OH - March 2017
Agenda Location	9 SUBCOMMITTEE D – DYNAMICS, COMPUTATIONS, AND ANALYSIS 9.3 Assessment of a Scalogram-Based PIO Metric with Flight Test Data
Title	Assessment of a Scalogram-Based PIO Metric with Flight Test Data
Presenter	Dave Klyde
Affiliation	Systems Technology, Inc.
Available Downloads*	presentation
	Downloads are available to members who are logged in and either Active* or attended this meeting.
Abstract	From advanced military aircraft to modern commercial transports and from business jets to rotorcraft, fly-by-wire flight control systems are now common place. This offers designers the ability to tailor response types via various flight control modes to specific missions or flight conditions. The mode transitions, envelope limiting, and control surface rate and position saturation that can accompany fly-by-wire designs may lead to pilot-vehicle system loss of control in the form of pilot-induced oscillations (PIO). With most fly-by-wire designs, the PIO tendencies have surfaced in flight test allowing for modifications that can reduce these tendencies. While predictive PIO metrics are available, though more work in this area is still needed, control room monitoring metrics have not been widely used. This paper explores the use of a wavelet scalogram-based metric that considers the time-varying peak pilot input power as a function of the controlled element phase at the frequency of the peak power, all of which are elements of the previously defined PIO signature. A flight test database generated in the evaluation of the Smart-Cue/Smart-Gain PIO mitigation concept is used to assess the utility of the proposed approach. The results of the assessment found that the new metric was successful at identifying correctly both PIO and non-PIO cases.