Dissertation/Thesis Abstract

Mixed Structured and Unstructured Uncertainty Modeling Method with Application to Linear Tape-Open Drives
by Wang, Longhao, M.S., University of California, San Diego, 2012, 47; 1508903
Abstract (Summary)

Starting from multiple frequency domain measurements, this paper presents a procedure to formulate a dynamic model of a servo actuator that consists of a nominal model and an allowable model perturbation in the form of a parametric and unstructured uncertainty. A separation between parametric and unstructured uncertainty is achieved by first estimating low order linear parameter models via frequency domain curve fitting followed by a linear Principle Component Analysis (PCA) to bound the parametric variations on the estimated parameters. Remaining differences between the low order parametric models and the measured frequency responses are captured by a bounded unstructured uncertainty on a frequency dependent dual-Youla parameter that uses prior information on a stabilizing feedback controller. The resulting perturbation model is written in a standard Linear Fractional Transformation (LFT) form and the procedure is applied to experimental data obtained from several mechanically equivalent servo actuators in a Linear Tape-Open (LTO) drive.

Indexing (document details)
Advisor: Callafon, Raymond de
Commitee: Bitmead, Robert, Martinez, Sonia
School: University of California, San Diego
Department: Engineering Sciences (Mechanical Engineering)
School Location: United States -- California
Source: MAI 50/05M, Masters Abstracts International
Subjects: Mechanical engineering
Publication Number: 1508903
ISBN: 978-1-267-28873-8
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