Parameter identification for inflight detection and characterization of aircraft icing

J. W. Melody, T. Basar, W. R. Perkins, P. G. Voulgaris

Research output: Contribution to journalArticlepeer-review

Abstract

Increasing interest in aircraft icing has motivated the proposal of a new ice management system that would provide inflight monitoring of ice accretion effects. Since these effects are manifested in the flight dynamics, parameter identification is a critical element of ice detection. In particular, identification must provide timely and accurate parameter estimates under normal operational input in the presence of disturbances and measurement noise. This paper evaluates a batch least-squares algorithm, an extended Kalman filter, and an H algorithm in the context of icing detection. Simulation results show that only the H method provides a timely and accurate icing indication.

Original languageEnglish (US)
Pages (from-to)985-1001
Number of pages17
JournalControl Engineering Practice
Volume8
Issue number9
DOIs
StatePublished - Sep 2000

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

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