RECURSIVE ON-LINE ESTIMATION METHOD WITH APPLICATION TO AIRCRAFT DYNAMICS PARAMETER IDENTIFICATION

The problem of identifying constant system parameters and identifying and tracking variable parameters in multi-input, multi-output, linear and nonlinear systems is considered in this paper. An identification algorithm is developed on the basis of the one step prediction error concept using the minimum variance and the maximum likelihood approach. The identification is performed by applying the output error approach. The novel iterative algorithm, leading to recursive identification and tracking of the unknown parameters and the noise covariance matrix, is developed and presented here. Agile tracking, accurate, consistent and unbiased parameter estimates are obtained. Necessary conditions for a stable identification process are provided. Among different cases studied, special emphasis was focused on the aircraft dynamics identification problem, the stability and control derivatives of aircraft being identified. Some results are shown as examples.

• Supplemental Notes:
  • Proceeding from the 18th Annual Conference on Aviation and Astronatucis, Tel Aviv and Haifa, Israel, May 19-20, 1976.
• Corporate Authors:

  Weizmann Science Press of Israel

  P.O. Box 801
  Jerusalem 91000,   Israel 
• Authors:
  • Sidar, M
• Publication Date: 1976

Media Info

• Features: References;
• Pagination: p. 56-65
• Serial:
  • Israel Journal of Technology
  • Volume: 14
  • Issue Number: 1-2
  • Publisher: Weizmann Science Press of Israel

Subject/Index Terms

• TRT Terms: Aircraft pilotage; Algorithms; Dynamics; Identification systems
• Candidate Terms: Recursion theory
• Uncontrolled Terms: Identification; Parameters
• Subject Areas: Aviation; Vehicles and Equipment;

Filing Info

• Accession Number: 00152861
• Record Type: Publication
• Source Agency: Engineering Index
• Files: TRIS
• Created Date: May 31 1977 12:00AM