Welcome To UTPedia

We would like to introduce you, the new knowledge repository product called UTPedia. The UTP Electronic and Digital Intellectual Asset. It stores digitized version of thesis, dissertation, final year project reports and past year examination questions.

Browse content of UTPedia using Year, Subject, Department and Author and Search for required document using Searching facilities included in UTPedia. UTPedia with full text are accessible for all registered users, whereas only the physical information and metadata can be retrieved by public users. UTPedia collaborating and connecting peoples with university’s intellectual works from anywhere.

Disclaimer - Universiti Teknologi PETRONAS shall not be liable for any loss or damage caused by the usage of any information obtained from this web site.Best viewed using Mozilla Firefox 3 or IE 7 with resolution 1024 x 768.

SYSTEMATIC DESIGN OF SIMPLY STRUCTURED COMPENSATOR

FUNG , CHUN TING (2005) SYSTEMATIC DESIGN OF SIMPLY STRUCTURED COMPENSATOR. Universiti Teknologi Petronas. (Unpublished)

[img] PDF
Download (6Mb)

Abstract

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.

Item Type: Final Year Project
Academic Subject : Academic Department - Electrical And Electronics - Pervasisve Systems - Digital Electronics - Design
Subject: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Engineering > Electrical and Electronic
Depositing User: Users 2053 not found.
Date Deposited: 02 Oct 2013 15:53
Last Modified: 25 Jan 2017 09:46
URI: http://utpedia.utp.edu.my/id/eprint/8114

Actions (login required)

View Item View Item

Document Downloads

More statistics for this item...