PID tuning of process plant using particle swarm optimization

Robert Ling Leh Guong, S. Badarol Hisham, I. Elamvazuthi, Sumit Aole, S. Parasuraman, M. K.A.Ahamed Khan

Research output: Chapter in Book/Report/Conference proceedingConference PaperOther

Abstract

PID controller is one of the most robust and well-implemented controller in today's industry. However, the advancement of technology has urged the industry to improve overall process in term of its overshoot, rise time, settling and other domains. In this paper, Particle Swarm Optimization (PSO) algorithm is implemented to optimize the controller parameters in order to improve the system performance of the real pressure plant. Simulation and experimental work are carried out side by side to prove the feasibility of the PSO method. The results show that PSO had successfully improved the system performance of the real pressure plant by 35.44% if compared to Cohen Coon tuning method.

Original languageEnglish
Title of host publication2018 IEEE 4th International Symposium in Robotics and Manufacturing Automation, ROMA 2018
PublisherIEEE, Institute of Electrical and Electronics Engineers
ISBN (Electronic)9781728103747
DOIs
Publication statusPublished - 2018
EventIEEE International Symposium in Robotics and Manufacturing Automation 2018 - Perambalur, Tamil Nadu, India
Duration: 10 Dec 201812 Dec 2018
Conference number: 4th
https://ieeexplore.ieee.org/xpl/conhome/8976031/proceeding (Proceedings)

Conference

ConferenceIEEE International Symposium in Robotics and Manufacturing Automation 2018
Abbreviated titleROMA 2018
Country/TerritoryIndia
CityPerambalur, Tamil Nadu
Period10/12/1812/12/18
Internet address

Keywords

  • Coheen Coon
  • evolutionary algorithm
  • Particle Swarm Optimization

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