A process to obtain robustness metrics for adaptive flight controllers

M. Scott Kimbrell, Eric Johnson, Girish Chowdhary, Anthony J. Calise, Rajeev Chandramohan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

This research effort seeks a process to draw parallels between the classical stability metrics of gain and phase margins for classical linear control systems with stability margins for adaptive controllers. The method uses a Monte Carlo simulation to yield stability threshold results for the adaptive controller based on problem-specific performance metrics. By fitting a linear controller's analytical robustness results to the adaptive stability data, the gain and phase margin for the performance-fitting linear system are considered to be the worst case equivalent gain and phase margin for the adaptive controller. This paper also discusses some experiences successfully obtaining time delay margin in a flight test setting.

Original languageEnglish (US)
Title of host publicationAIAA Guidance, Navigation, and Control Conference and Exhibit
StatePublished - Dec 1 2009
EventAIAA Guidance, Navigation, and Control Conference and Exhibit - Chicago, IL, United States
Duration: Aug 10 2009Aug 13 2009

Publication series

NameAIAA Guidance, Navigation, and Control Conference and Exhibit

Other

OtherAIAA Guidance, Navigation, and Control Conference and Exhibit
CountryUnited States
CityChicago, IL
Period8/10/098/13/09

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All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Kimbrell, M. S., Johnson, E., Chowdhary, G., Calise, A. J., & Chandramohan, R. (2009). A process to obtain robustness metrics for adaptive flight controllers. In AIAA Guidance, Navigation, and Control Conference and Exhibit [2009-5966] (AIAA Guidance, Navigation, and Control Conference and Exhibit).