Masters Theses

Abstract

"The first paper presents a new approach for online parameter estimation using multiple recursive least squares estimations implemented simultaneously to determine system model parameters, as well as a deadzone and/or deadband. the online adaptive estimation scheme was verified in simulation using MATLAB Simulink and verified experimentally for a DC motor driven cart, an electro-hydraulic pilot valve system, and a free cart loosely coupled to a DC motor driven cart by a pin that fits loosely in a slot...The second paper demonstrates the use of the Mathworks xPC Target environment for validation of a control system and emulation of a physical system using real-time code auto-generated from a simulation environment. A Master/Slave control system is developed for a hydraulic test stand"--Abstract, page iv.

Advisor(s)

Landers, Robert G.

Committee Member(s)

Krishnamurthy, K.
Sarangapani, Jagannathan, 1965-

Department(s)

Mechanical and Aerospace Engineering

Degree Name

M.S. in Mechanical Engineering

Sponsor(s)

Caterpillar Inc.

Publisher

Missouri University of Science and Technology

Publication Date

Summer 2008

Pagination

xii, 99 pages

Rights

© 2008 Jeffrey James Lentz, All rights reserved.

Document Type

Thesis - Open Access

File Type

text

Language

English

Subject Headings

Estimation theory -- Mathematical models
Hydraulic circuits
Least squares
Parameter estimation -- Mathematical models

Thesis Number

T 9408

Print OCLC #

298130913

Electronic OCLC #

300455350

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