Control of a Large Space Structure Using Multiple Model Adaptive Estimation and Control Techniques
Abstract
The purpose of this thesis is to apply moving-bank multiple model adaptive estimation and control (MMAE/MMAC) 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 MMAE/MMAC 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. Multiple model adaptive estimation, Multiple model adaptive control, LQG Control, Flexible space structure, Parameter identification.
Document Details
- Document Type
- Technical Report
- Publication Date
- Dec 01, 1993
- Accession Number
- ADA274039
Entities
People
- Gregory J. Schiller
Organizations
- Air Force Institute of Technology