143. MODELLING AND ESTIMATION OF SERVO ACTUATOR DYNAMIC VARIABILITY WITH APPLICATION TO LTO-DRIVES

Department: Mechanical & Aerospace Engineering
Research Institute Affiliation: Center for Magnetic Recording Research (CMRR)
Faculty Advisor(s): Raymond de Callafon

Primary Student
Name: Longhao Wang
Email: l3wang@ucsd.edu
Phone: 858-822-3457
Grad Year: 2012

Abstract
This paper presents a general procedure for un- certainty modeling with respect to both parametric perturbation and unstructured perturbation and express the model in Linear Fractional Transformation (LFT) form. A batch of servo actuators are provided and estimation of actual models is conducted. Low order linear parameter models are fitted to capture the major dynamics in actual models. A parameter perturbed model is defined and Principle Component Analysis (PCA) is used to reduce the parameter independence. The differences between actual models and fitted parametric models are captured by Dual Youla based unstructured uncertainty modeling method. The robust stability and performance test is done in the LFT form. Furthermore, an application of this method on LTO-drives is shown with comparison to using solely unstructured uncertainty modeling method.

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