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