The command generator tracker approach to model reference adaptive control of multi-input multi-output plants.
Item
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Title
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The command generator tracker approach to model reference adaptive control of multi-input multi-output plants.
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Identifier
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AAI9218277
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identifier
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9218277
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Creator
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Su, Wei.
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Contributor
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Adviser: Kenneth M. Sobel
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Date
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1992
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Language
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English
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Publisher
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City University of New York.
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Subject
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Engineering, Electronics and Electrical
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Abstract
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The command generator tracker approach to model reference adaptive control has become a very efficient method for controlling plants with unknown or partially known parameters. However, most of the earlier work in this area only considers linear time invariant plants which are almost strictly positive real or which can be made almost strictly positive real through feedforward augmentation.;This dissertation presents six new adaptive algorithms for the control of both linear time invariant and a class of nonlinear multi-input multi-output plants. For linear time invariant plants which are not almost strictly positive real, we use supplementary dynamics which are inserted into the adaptive controller in various locations to form three different algorithms. Furthermore, we propose two additional algorithms in which the parameters of the supplementary dynamics are computed on-line as part of the adaptive mechanism.;For nonlinear plants, we propose an adaptive algorithm to control a plant with nonlinearities of known form, but with unknown parameters.;Design rules are described for each adaptive control algorithm. A stability analysis is provided which shows that the output tracking error will be bounded in the presence of bounded input and output disturbances, and asymptotic output tracking will be achieved under some additional conditions.
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Type
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dissertation
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Source
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PQT Legacy CUNY.xlsx
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degree
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Ph.D.
