본문 바로가기
  • Home

An Enhanced Technologies of Intelligent HVAC PID Controller by Parameter Tuning based on Machine Learning

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2017, 22(12), pp.27-34
  • DOI : 10.9708/jksci.2017.22.12.027
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : October 31, 2017
  • Accepted : December 4, 2017
  • Published : December 29, 2017

Kim, JeeHyun 1 Young Im Cho 2

1서일대학교
2가천대학교

Accredited

ABSTRACT

Design of an intelligent controller for efficient control in smart building is one of the effective technologies to reduce energy consumption by reducing response time with keeping comfortable level for inhabitants. In this paper, we focus on how to find major parameters in order to enhance the ability of HVAC(heating, ventilation, air conditioning) PID controller. For the purpose of that, we use machine learning technologies for tuning HVAC devices. We show the simulation results to illustrate the behavioral relation of whole system and each control parameter while learning process.

Citation status

* References for papers published after 2022 are currently being built.