Title page for ETD etd-1107101-134928


Type of Document Master's Thesis
Author Wu, Zhongshan
Author's Email Address zwu@ece.lsu.edu
URN etd-1107101-134928
Title Simulation Study and Instability of Adaptive Control
Degree Master of Science in Electrical Engineering (M.S.E.E.)
Department Electrical and Computer Engineering
Advisory Committee
Advisor Name Title
Guoxiang Gu Committee Chair
Kemin Zhou Committee Member
Peter Wolenski Committee Member
Keywords
  • simulation
  • adaptive control
  • instability
Date of Defense 2001-04-03
Availability unrestricted
Abstract
The Minimum-degree Pole Placement algorithm for

Self-tuning Regulator design and the Recursive

Least-square method and the projection algorithm

for plant estimation are studied first in this

thesis. Simulation studies for the estimator and

controller algorithms are mainly undertaken after

describing how to use MATLAB S-function in detail.

Not only do Simulation experiments illustrates

how and how well the MDPP and RLS algorithms work,

but also show how to write and debug MATLAB codes

for S-function programs. The robustness of the

adaptive control system is intensively discussed

subsequently. By using an estimator resistant to

the noise contamination, the adaptive control

system can not be destablized by the introduced

noise at the input of the plant or the estimator.

However, the adaptive control system is subject

to the unmodeled dynamics that have a magnitude

response like an impulse at the crossover

frequency of the system. Simulation results also

show that a classic feedback controller has a

better performance, compared with the adaptive

controller.

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