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Implementation of repetitive control algorithm in reducing vibration using MATLAB/SIMULINK / Mohamad Zuhairy Mohamed

In this report, it analyzes an application of repetitive control algorithm that deal with periodic disturbance.. To investigates the possibility of using a truncated finite impulse response (FIR) model approximation to implement a well-known gradient type repetitive control algorithm. As a new resul...

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Main Author: Mohamed, Mohamad Zuhairy
Format: Student Project
Language:English
Published: 2008
Subjects:
Instruments and machines
Electronic Computers. Computer Science
Algorithms
Online Access:http://ir.uitm.edu.my/id/eprint/43242/1/43242.PDF
http://ir.uitm.edu.my/id/eprint/43242/
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spelling my.uitm.ir.432422021-03-11T07:23:48Z http://ir.uitm.edu.my/id/eprint/43242/ Implementation of repetitive control algorithm in reducing vibration using MATLAB/SIMULINK / Mohamad Zuhairy Mohamed Mohamed, Mohamad Zuhairy Instruments and machines Electronic Computers. Computer Science Algorithms In this report, it analyzes an application of repetitive control algorithm that deal with periodic disturbance.. To investigates the possibility of using a truncated finite impulse response (FIR) model approximation to implement a well-known gradient type repetitive control algorithm. As a new result it is in fact shown that the algorithm iteratively solves a Model Predictive Control related cost function. Furthermore, it is shown how accurate the FIR approximation of the original system has to be in order for algorithm to converge to zero tracking error. Under certain assumption on the plant model it is shown that the algorithm results in monotonic convergence. The theory of the repetitive control algorithm was applied to the MATLAB and SIMULINK software to making the algorithm converges to zero tracking error exponentially by satisfied the condition that was explained in chapter 2. MATLAB programming is sue to design the repetitive controller after that its implement to the SIMULINK software. However the repetitive controller can be implementing to the real system such as “smart spring”. However for this project the repetitive controller just implement to the SIMULINK software. From the SIMULINK software the each repetitive controller represent each block diagram as a virtual hardware. From the output of SIMULINK system the convergence signal can be obtain. The result of the convergence signal showed in figure 5.4 below. 2008-04 Student Project NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/43242/1/43242.PDF Mohamed, Mohamad Zuhairy (2008) Implementation of repetitive control algorithm in reducing vibration using MATLAB/SIMULINK / Mohamad Zuhairy Mohamed. [Student Project] (Unpublished)
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Instruments and machines
Electronic Computers. Computer Science
Algorithms
spellingShingle Instruments and machines
Electronic Computers. Computer Science
Algorithms
Mohamed, Mohamad Zuhairy
Implementation of repetitive control algorithm in reducing vibration using MATLAB/SIMULINK / Mohamad Zuhairy Mohamed
description In this report, it analyzes an application of repetitive control algorithm that deal with periodic disturbance.. To investigates the possibility of using a truncated finite impulse response (FIR) model approximation to implement a well-known gradient type repetitive control algorithm. As a new result it is in fact shown that the algorithm iteratively solves a Model Predictive Control related cost function. Furthermore, it is shown how accurate the FIR approximation of the original system has to be in order for algorithm to converge to zero tracking error. Under certain assumption on the plant model it is shown that the algorithm results in monotonic convergence. The theory of the repetitive control algorithm was applied to the MATLAB and SIMULINK software to making the algorithm converges to zero tracking error exponentially by satisfied the condition that was explained in chapter 2. MATLAB programming is sue to design the repetitive controller after that its implement to the SIMULINK software. However the repetitive controller can be implementing to the real system such as “smart spring”. However for this project the repetitive controller just implement to the SIMULINK software. From the SIMULINK software the each repetitive controller represent each block diagram as a virtual hardware. From the output of SIMULINK system the convergence signal can be obtain. The result of the convergence signal showed in figure 5.4 below.
format Student Project
author Mohamed, Mohamad Zuhairy
author_facet Mohamed, Mohamad Zuhairy
author_sort Mohamed, Mohamad Zuhairy
title Implementation of repetitive control algorithm in reducing vibration using MATLAB/SIMULINK / Mohamad Zuhairy Mohamed
title_short Implementation of repetitive control algorithm in reducing vibration using MATLAB/SIMULINK / Mohamad Zuhairy Mohamed
title_full Implementation of repetitive control algorithm in reducing vibration using MATLAB/SIMULINK / Mohamad Zuhairy Mohamed
title_fullStr Implementation of repetitive control algorithm in reducing vibration using MATLAB/SIMULINK / Mohamad Zuhairy Mohamed
title_full_unstemmed Implementation of repetitive control algorithm in reducing vibration using MATLAB/SIMULINK / Mohamad Zuhairy Mohamed
title_sort implementation of repetitive control algorithm in reducing vibration using matlab/simulink / mohamad zuhairy mohamed
publishDate 2008
url http://ir.uitm.edu.my/id/eprint/43242/1/43242.PDF
http://ir.uitm.edu.my/id/eprint/43242/
_version_ 1695534660391534592
score 13.211869

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