Automatic parameter tuning of PID controllers

Pao Yue-kong Library Electronic Theses Database

Automatic parameter tuning of PID controllers

 

Author: Chan, Yu-tak
Title: Automatic parameter tuning of PID controllers
Year: 1999
Subject: PID controllers
Self-tuning controllers
Automatic control
Heating -- Control
Ventilation -- Control
Air conditioning -- Control
Hong Kong Polytechnic University -- Dissertations
Department: Multi-disciplinary Studies
Dept. of Electronic Engineering
Pages: iv, 95 leaves : ill. (some col.) ; 31 cm
Language: English
InnoPac Record: http://library.polyu.edu.hk/record=b1485414
URI: http://theses.lib.polyu.edu.hk/handle/200/2445
Abstract: The PID controller is widely applied in the industrial control process. Manual tuning of the controller will be a time-consuming job. Moreover, the response during the tuning period will sometimes be unacceptable. This project will provide a tuning algorithm to on-line monitor the changes of the process parameters so that the controller parameters can be modified accordingly to meet the specification. The heating, ventilation and air-conditioning (HVAC) system is studied. Usually, it is taken as a typical SISO first order system for most of the industrial processes. Since an inherent delay time borne with the HVAC heating/cooling process, a genetic algorithm (GA) is adopted to search the optimal delay time in parallel with the recursive least square method (RLS) for the estimation of the process parameters. Upon the process parameters being determined, the PID controller is tuned to give an overall first order response system, which has no overshoots and oscillations.

Files in this item

Files Size Format
b14854144.pdf 7.836Mb PDF
Copyright Undertaking
As a bona fide Library user, I declare that:
  1. I will abide by the rules and legal ordinances governing copyright regarding the use of the Database.
  2. I will use the Database for the purpose of my research or private study only and not for circulation or further reproduction or any other purpose.
  3. I agree to indemnify and hold the University harmless from and against any loss, damage, cost, liability or expenses arising from copyright infringement or unauthorized usage.
By downloading any item(s) listed above, you acknowledge that you have read and understood the copyright undertaking as stated above, and agree to be bound by all of its terms.

     

Quick Search

Browse

More Information