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Advanced controller auto-tuning and its application in HVAC systems

  • Qiang Bi
  • , Wen Jian Cai
  • , Qing Guo Wang
  • , Chang Chieh Hang
  • , Lee Eng-Lock Lee
  • , Yong Sun
  • , Ke Dian Liu
  • , Yong Zhang
  • , Biao Zou
  • Seagate Technology
  • Nanyang Technological University
  • National University of Singapore
  • Supersymmetry Services Pte Ltd
  • Honeywell Hi-Spec Solutions Asia P.

Research output: Contribution to journalArticlepeer-review

134 Citations (Scopus)

Abstract

In this paper, an advanced PID auto-tuner for both single- and multi-variable processes is described and its application to HVAC systems is presented. The auto-tuner exploits two different process identification methods to suit a wide range of processes. It incorporates two recent PID design rules to achieve high control performances for processes with different dynamic characteristics. Decoupling control is used for multivariable processes. The auto-tuner was implemented on a distributed control system and applied in industry. Experimental results demonstrate the effectiveness and superior performance of the implemented auto-tuner over the manually tuned PID controller and the standard relay auto-tuner. (C) 2000 Elsevier Science Ltd. All rights reserved.

Original languageEnglish
Pages (from-to)633-644
Number of pages12
JournalControl Engineering Practice
Volume8
Issue number6
DOIs
Publication statusPublished - Jun 2000
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • HVAC
  • Multivariable control
  • PID auto-tuning
  • Process identification
  • Relay feedback
  • Step response

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

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