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Reseach Article

Application of Model Predictive Control for Improving Stability of Rotor and Controlling Active Rotor Vibration

by Lipika Sharma, Shailja Shukla
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 72 - Number 13
Year of Publication: 2013
Authors: Lipika Sharma, Shailja Shukla
10.5120/12553-9117

Lipika Sharma, Shailja Shukla . Application of Model Predictive Control for Improving Stability of Rotor and Controlling Active Rotor Vibration. International Journal of Computer Applications. 72, 13 ( June 2013), 17-22. DOI=10.5120/12553-9117

@article{ 10.5120/12553-9117,
author = { Lipika Sharma, Shailja Shukla },
title = { Application of Model Predictive Control for Improving Stability of Rotor and Controlling Active Rotor Vibration },
journal = { International Journal of Computer Applications },
issue_date = { June 2013 },
volume = { 72 },
number = { 13 },
month = { June },
year = { 2013 },
issn = { 0975-8887 },
pages = { 17-22 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume72/number13/12553-9117/ },
doi = { 10.5120/12553-9117 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:37:49.293722+05:30
%A Lipika Sharma
%A Shailja Shukla
%T Application of Model Predictive Control for Improving Stability of Rotor and Controlling Active Rotor Vibration
%J International Journal of Computer Applications
%@ 0975-8887
%V 72
%N 13
%P 17-22
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The aim of this paper is to study the application of model predictive controller for improving stability of rotor and rotor vibration. Rotor vibrations in electrical machines are dampen out by model predictive control algorithm. The controlled system is the one dimensional Jeffcott-rotor. Model predictive control algorithm was designed, and the simulation results were obtained by Mat lab software tools. Model Predictive Control (MPC) refers to a class of algorithms that compute a sequence of manipulated variable adjustments in order to optimize the future behavior of a plant. In this paper the controlled output of rotor by MPC is further compared with output of same rotor with PID controller.

References
  1. SONG Fang-zhen, "Control of Rotor Unbalance Vibration with Magnetic Dynamic Absorber", IEEE International Conference on Control and Automation Guangzhou, CHINA - May 30 to June 1, 2007, pp no-329-331.
  2. Michael Nikolaou, "Model Predictive Controllers: A Critical Synthesis of Theory and Industrial Needs", Chemical Engineering Dept, University of Houston, Houston.
  3. Jozef Hrb?ek, "Active control of rotor vibration by model predictive control" A simulation study, Espoo May 2007, Helsinki University of Technology Control Engineering Laboratory, Report 153.
  4. Kastsuhiko Ogta, "Modern Control Engineering", 3rd Edition, Published by Prentice Hall.
  5. Dr. Mickael Lallart, "Vibration control", First Edition published September 2010, Published by Sciyo.
  6. Debadatta Patra "Model predictive control" IIT Rourkela, Bachelor of Technology in Electronics and Instrumentation Engineering, 2007.
  7. A. Vasi?kaninova and M. Bakošova, "Neural network predictive control of a chemical reactor", Proceedings 23rd European Conference on Modelling and Simulation ©ECMS Javier Otamendi, Andrzej Bargiela, José Luis Montes, Luis Miguel Doncel Pedrera (Editors) ISBN: 978-0-9553018-8-9 / ISBN: 978-0-9553018-9-6 (CD)
  8. Abran Alaniz, "Model predictive control with application to real hardware and guided parafoil", Department of Aeronautics Astronautics , June 2004.
  9. Manfred Morari N. Lawrence Ricker, "Model predictive control tool box", Version 1, COPYRIGHT 1984 - 1998 by The Math Works, Inc
Index Terms

Computer Science
Information Sciences

Keywords

active control of rotor vibration model predictive control rotor PID controller