Record Details

Design-approach evaluation of multiple-input, model-reference, adaptive control systems

ScholarsArchive at Oregon State University

Field Value
Title Design-approach evaluation of multiple-input, model-reference, adaptive control systems
Names Cowgill, Paul Nelson (creator)
Stone, Solon A. (advisor)
Date Issued 1967-07-05 (iso8601)
Note Graduation date: 1968
Abstract The model-reference, adaptive control concept is based on the
precept that desired control system performance is a known design
requirement and can be obtained from a representative model. Control
system parameters are adjusted by the adaptive controller through a
minimizing operation on a function of the error (i.e., performance
index) between control system and model response characteristics.
By minimizing the performance index, the control system response
characteristics will track those of the model.
This thesis presents a unified review of model-reference, adaptive
control system design and analysis techniques and a method for analytically
determining adaptive control loop sensitivity to multiple forcing
functions. The design and analysis techniques presented encompass
design approach variations (i.e., configuration deviations) and solutions
to commonly encountered application problems. The multiple forcing
functions considered consist of reference and disturbance inputs.
The forcing function sensitivity of two adaptive controller configurations
is analytically derived and compared for single and simultaneous,
sinusoidal inputs. Frequency-domain analysis techniques are thereby
extended for application to these two particular configurations of nonlinear
systems.
Genre Thesis/Dissertation
Topic Automatic control
Identifier http://hdl.handle.net/1957/47367

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