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Adaptive Control of Non-Minimum Phase Modal Systems Using Residual Mode Filters2Many dynamic systems containing a large number of modes can benefit from adaptive control techniques, which are well suited to applications that have unknown parameters and poorly known operating conditions. In this paper, we focus on a direct adaptive control approach that has been extended to handle adaptive rejection of persistent disturbances. We extend this adaptive control theory to accommodate problematic modal subsystems of a plant that inhibit the adaptive controller by causing the open-loop plant to be non-minimum phase. We will modify the adaptive controller with a Residual Mode Filter (RMF) to compensate for problematic modal subsystems, thereby allowing the system to satisfy the requirements for the adaptive controller to have guaranteed convergence and bounded gains. This paper will be divided into two parts. Here in Part I we will review the basic adaptive control approach and introduce the primary ideas. In Part II, we will present the RMF methodology and complete the proofs of all our results. Also, we will apply the above theoretical results to a simple flexible structure example to illustrate the behavior with and without the residual mode filter.
Document ID
20110012477
Acquisition Source
Ames Research Center
Document Type
Conference Paper
Authors
Balas, Mark J.
(Wyoming Univ. Laramie, WY, United States)
Frost, Susan
(NASA Ames Research Center Moffett Field, CA, United States)
Date Acquired
September 8, 2013
Publication Date
April 2, 2011
Subject Category
Mathematical And Computer Sciences (General)
Report/Patent Number
ARC-E-DAA-TN2992
Report Number: ARC-E-DAA-TN2992
Meeting Information
Meeting: European Aerospace GNC Conference
Location: Munich
Country: Germany
Start Date: April 10, 2011
End Date: April 12, 2011
Sponsors: Council of European Aerospace Societies, American Inst. of Aeronautics and Astronautics
Funding Number(s)
WBS: WBS 877868.02.07.01.02.01.05
Distribution Limits
Public
Copyright
Public Use Permitted.
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