Adaptive Control of Large Space Structures
Abstract
Preliminary results are presented for set estimation of uncertain nonlinear systems. Set estimation is a process in an adaptive robust control system which produces a set of models from the measured data. The set is then used in an on-line robust control design to implement a controller which is guaranteed to achieve performance goals for all members on the set. The scheme works whenever the actual system which produced the data is a member of the estimated set. The results of this report extend some previous work in linear set estimation to nonlinear systems. This report also summarizes an analysis of an adaptive nonlinear system using the method of averaging. The aim of adaptive control is to implement in real-time and on-line as many as possible of the design functions now performed off-line by the control engineer. Although it is easy to configure an adaptive system by connecting an estimator and control design rule, research is essential to identify the performance limitations of adaptive strategies for LSS control. The long range goal of this research program is to establish guidelines for selecting the appropriate strategy, to evaluate performance improvements over fixed-gain mechanizations, and to examine the architecture necessary to produce a practical hardware realization. The initial and continuing thrust, however, is to build a strong theoretical foundation without losing sight of the practical implementation issues.
Document Details
- Document Type
- Technical Report
- Publication Date
- Aug 15, 1990
- Accession Number
- ADA227304
Entities
People
- Robert L. Kosut