Basic Research on Adaptive Model Algorithmic Control

Item

Title
Basic Research on Adaptive Model Algorithmic Control
Creator
Larimore, Wallace E.
Mahmood, Shahjahan
Date
1985
Identifier
ADA168016
ADA168016
Abstract
The Model Algorithmic Control (MAC) method is investigated in terms of robustness and adaption to unknown or changing plants. The adaption method used is Canonical Variate Analysis (CVA) system identification. CVA is shown to provide system identification accuracy comparable to maximum likelihood and to provide an optimal selection of instrumental variables. Computationally CVA is a noniterative procedure that gives a numerically and statistically well conditioned solution to the system identification problem. A one-step-ahead MAC is explained using the classical root locus technique. Conditions are developed for robustness of the controller to perturbations in the plant due to error in plant identification. Selection of an optimal sampling rate is based upon the controlability and observability matrices. Simulations illustrating the above theory are presented using a Multi-Input Multi-Output (MIMO) missile aerodynamic model.
Date Issued
1985-12
Extent
204
Corporate Author
Scientific Systems, Inc.
Laboratory
Flight Dynamics Laboratory
Report Number
AFWAL-TR-85-3113
Contract
F33615-82-C-3600
DoD Project
2403
DoD Task
2403N3
Distribution Conflict
No
Access Rights
Approved for public release; distribution is unlimited
Photo Quality
Not Needed
Distribution Classification
1
DTIC Record Exists
Yes
Report Availability
Full text available by request
Provenance
University of Colorado Colorado Springs, Kraemer Family Library
Type
report