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Mechanical, Industrial and Civil Eng.Mfg & Industrial Eng & Control of Product Sys

Sensitivity Adaptive Control of a Magnetic Suspension System.

Authors: Yick Man Chan; ILLINOIS UNIV AT URBANA-CHAMPAIGN DECISION AND CONTROL LAB
Abstract:
This project is concerned with the study of the behavior of a particular stochastic system, the magnetic suspension system, under the application of the Sensitivity Adaptive Feedback with Estimation Redistribution (SAFER) Control Algorithm. Matrix factorization techniques are used in the controller and estimator design for the system. Simulation results indicate that the magnetic suspension system can operate satisfactorily under the SAFER control method; and factorization techniques indeed enhance the numerical stability of computations. However, due to the complex structure of the SAFER control method, real time application of the algorithm may require faster computing device or simplified mathematical model. Its application will be most pertinent to system with slow time constants. (Author)

Description: Master's thesis
Pages: 97
Report Date: MAY 1979
Contract Number: DAAG2978C0016, NSFENG7420091
Report Number: A841770

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Keywords relating to this report:
*ADAPTIVE CONTROL SYSTEMS
*MAGNETIC FIELDS
*SUSPENSION DEVICES
FACTOR ANALYSIS
FEEDBACK
KALMAN FILTERING
MATHEMATICAL MODELS
MONTE CARLO METHOD
OPTIMIZATION
REAL TIME
RESPONSE
SENSITIVITY
STOCHASTIC PROCESSES
THESES
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