Physical domain model reduction for design and control of engineering systems

Thesis (Mech.E.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1998.

Bibliographic Details
Main Author: Orbak, Âli Yurdun, 1970-
Other Authors: Kamal Youcef-Toumi.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2005
Subjects:
Online Access:http://hdl.handle.net/1721.1/9618
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author Orbak, Âli Yurdun, 1970-
author2 Kamal Youcef-Toumi.
author_facet Kamal Youcef-Toumi.
Orbak, Âli Yurdun, 1970-
author_sort Orbak, Âli Yurdun, 1970-
collection MIT
description Thesis (Mech.E.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1998.
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spelling mit-1721.1/96182020-07-14T17:09:44Z Physical domain model reduction for design and control of engineering systems Orbak, Âli Yurdun, 1970- Kamal Youcef-Toumi. Massachusetts Institute of Technology. Department of Mechanical Engineering Mechanical Engineering Thesis (Mech.E.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1998. Vita. Includes bibliographical references (leaves 107-112). There is an increasing need for obtaining low order approximations of high order models of physical systems. Low order models result in several advantages including the reduction of computational complexity and improved understanding of the original system structure. Although different methods have been suggested for obtaining suitable low order approxi­mations, these approaches do not reflect the relation between the mathematical model and the physical components (or subsystems). Specifically, these procedures do not indicate which physical subsystems should be eliminated or retained in a reduced order model. In this work, a new model reduction procedure will be presented. This procedure helps identifying subsystems in a physical system, and accordingly suggests a reduced order model. Subsystems are removed or retained based on information from physical system decomposition procedures and residues. This reduction procedure can also be applied to both SISO and MIMO systems. The residue information can also be used to improve results of existing model reduction methodologies such as the balanced realization techniques. All necessary programming routines for this work were developed in MATLAB and used successfully in several applications. These scripts were prepared in toolbox like functions to enhance their usefulness in a variety of applications. The advantages of the procedure over existing methodologies are emphasized through several examples which include a power steering system. by Âli Yurdun Orbak. Mech.E. 2005-08-19T18:58:25Z 2005-08-19T18:58:25Z 1998 1998 Thesis http://hdl.handle.net/1721.1/9618 42264661 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 112 leaves 6745455 bytes 6745214 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology
spellingShingle Mechanical Engineering
Orbak, Âli Yurdun, 1970-
Physical domain model reduction for design and control of engineering systems
title Physical domain model reduction for design and control of engineering systems
title_full Physical domain model reduction for design and control of engineering systems
title_fullStr Physical domain model reduction for design and control of engineering systems
title_full_unstemmed Physical domain model reduction for design and control of engineering systems
title_short Physical domain model reduction for design and control of engineering systems
title_sort physical domain model reduction for design and control of engineering systems
topic Mechanical Engineering
url http://hdl.handle.net/1721.1/9618
work_keys_str_mv AT orbakaliyurdun1970 physicaldomainmodelreductionfordesignandcontrolofengineeringsystems