Control of a Large Space Structure Using Multiple Model Adaptive Estimation and Control Techniques

Author

Gregory J. Schiller

Date of Award

12-1993

Document Type

Thesis

Degree Name

Master of Science in Astronautical Engineering

Department

Department of Electrical and Computer Engineering

First Advisor

Peter S. Maybeck, PhD

Abstract

The purpose of this thesis is to apply moving-bank multiple model adaptive estimation and control MMAEMMAC algorithms to an actual space structure SPICE being examined at Phillips Laboratory at Kirtland AFB, NM. The structure consists of a large platform and a smaller platform connected by three legs in a tripod fashion. Kalman filtering and LQG control techniques are utilized as the primary design tool. Implementing a bank of filters increases the robustness of the LQG controller when uncertainties exist in the system model, whereas the moving bank is utilized to reduce the computational load. Several reduced-order models are developed from the truth model using modal analysis and modal cost analysis. The MMAEMMAC design with a dramatically reduced-order filter model provides an excellent method to estimate a wide range of parameter variations and to quell oscillations in the structure.

AFIT Designator

AFIT-GA-ENG-93D-02

DTIC Accession Number

ADA274039

Comments

The author's Vita page is omitted.

Recommended Citation

Schiller, Gregory J., "Control of a Large Space Structure Using Multiple Model Adaptive Estimation and Control Techniques" (1993). Theses and Dissertations. 6608.
https://scholar.afit.edu/etd/6608