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SYSTEMATIC DESIGN OF SIMPLY STRUCTURED COMPENSATOR

PID controllers have been the most common type of compensators in the past and will continue in the near future. Effort has been taken by researchers to develop simple and systematic way to design these controllers. This project aims to develop the algorithm for the tuning method that based on N...

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Main Author: FUNG , CHUN TING
Format: Final Year Project
Language:English
Published: Universiti Teknologi Petronas 2005
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://utpedia.utp.edu.my/8114/1/2005%20-%20SYSTEMATIC%20DESIGN%20OF%20SIMPLY%20STRUCTURED%20COMPENSATOR.pdf
http://utpedia.utp.edu.my/8114/
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spelling my-utp-utpedia.81142017-01-25T09:46:37Z http://utpedia.utp.edu.my/8114/ SYSTEMATIC DESIGN OF SIMPLY STRUCTURED COMPENSATOR FUNG , CHUN TING TK Electrical engineering. Electronics Nuclear engineering PID controllers have been the most common type of compensators in the past and will continue in the near future. Effort has been taken by researchers to develop simple and systematic way to design these controllers. This project aims to develop the algorithm for the tuning method that based on Nyquist Stability Criterion and at later stage build a Neural Network Model to predict the tuning parameters for the PID controller. Recently, it has been revealed the possibility that the fine-tuning method based on Nyquist Stability Criterion has the potential to output a satisfactory closed-loop performance for a given continuous, linear system model. In addition, design of compensator based on Nyquist Stability Criterion is simpler and more robust [3]. On the other hand, Neural Network has become tremendously popular in the control application due to its ability in adaptive learning and approximating function. By implementing Nyquist Stability Criterion's tuning algorithm with Neural Network, this will definitely enhance the process of tuning the PID controller. In this project, the algorithm of the tuning method based on Nyquist Stability Criterion is developed first. Then, data are generated to be used in training the neural network. The NN is used to predict the tuning parameters of PID controller for second order system. The whole project is implemented in MATLAB program. The result obtained in this project has actually showed that the tuning rule based on Nyquist Stability Criterion can fine-tune the PID controller and eventually improve the closed-loop system. Meanwhile the NN model built has been able to predict the parameters for PID controllerat the accuracyof 5%MSE. In the final part of this report, conclusions are drawn and some future work for future development is proposed. Universiti Teknologi Petronas 2005-06 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/8114/1/2005%20-%20SYSTEMATIC%20DESIGN%20OF%20SIMPLY%20STRUCTURED%20COMPENSATOR.pdf FUNG , CHUN TING (2005) SYSTEMATIC DESIGN OF SIMPLY STRUCTURED COMPENSATOR. Universiti Teknologi Petronas. (Unpublished)
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Electronic and Digitized Intellectual Asset
url_provider http://utpedia.utp.edu.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
FUNG , CHUN TING
SYSTEMATIC DESIGN OF SIMPLY STRUCTURED COMPENSATOR
description PID controllers have been the most common type of compensators in the past and will continue in the near future. Effort has been taken by researchers to develop simple and systematic way to design these controllers. This project aims to develop the algorithm for the tuning method that based on Nyquist Stability Criterion and at later stage build a Neural Network Model to predict the tuning parameters for the PID controller. Recently, it has been revealed the possibility that the fine-tuning method based on Nyquist Stability Criterion has the potential to output a satisfactory closed-loop performance for a given continuous, linear system model. In addition, design of compensator based on Nyquist Stability Criterion is simpler and more robust [3]. On the other hand, Neural Network has become tremendously popular in the control application due to its ability in adaptive learning and approximating function. By implementing Nyquist Stability Criterion's tuning algorithm with Neural Network, this will definitely enhance the process of tuning the PID controller. In this project, the algorithm of the tuning method based on Nyquist Stability Criterion is developed first. Then, data are generated to be used in training the neural network. The NN is used to predict the tuning parameters of PID controller for second order system. The whole project is implemented in MATLAB program. The result obtained in this project has actually showed that the tuning rule based on Nyquist Stability Criterion can fine-tune the PID controller and eventually improve the closed-loop system. Meanwhile the NN model built has been able to predict the parameters for PID controllerat the accuracyof 5%MSE. In the final part of this report, conclusions are drawn and some future work for future development is proposed.
format Final Year Project
author FUNG , CHUN TING
author_facet FUNG , CHUN TING
author_sort FUNG , CHUN TING
title SYSTEMATIC DESIGN OF SIMPLY STRUCTURED COMPENSATOR
title_short SYSTEMATIC DESIGN OF SIMPLY STRUCTURED COMPENSATOR
title_full SYSTEMATIC DESIGN OF SIMPLY STRUCTURED COMPENSATOR
title_fullStr SYSTEMATIC DESIGN OF SIMPLY STRUCTURED COMPENSATOR
title_full_unstemmed SYSTEMATIC DESIGN OF SIMPLY STRUCTURED COMPENSATOR
title_sort systematic design of simply structured compensator
publisher Universiti Teknologi Petronas
publishDate 2005
url http://utpedia.utp.edu.my/8114/1/2005%20-%20SYSTEMATIC%20DESIGN%20OF%20SIMPLY%20STRUCTURED%20COMPENSATOR.pdf
http://utpedia.utp.edu.my/8114/
_version_ 1739831538182258688
score 13.211869

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