Comparison on PID controller performance for multivariable system between de-tuned method and optimization method

Totok R. Biyanto*, Ali Musyafa, Hendra Cordova, Matradji, Ajie Prasetyo, Haslinda Zabiri, Atiqah Sordi, Nurul Sapika

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

In this paper, a decentralized PID controller in PI mode is tuned using Biggest-Log Modulus (BLT) tuning method and a stochastic optimization method i.e. Duelist Algorithm (DA) for multivariable system. A TITO system with FOPDT model is considered to examine the performance of the controller using those two different methods. In BLT method, the PID controller tuning parameters were first designed by using Ziegler-Nichols (ZN) method from S-curve, then the biggest log modulus is obtained to find the F factor and detuned the ZN value using the factor of BLT method. In DA method, the Integral Absolute Error (IAE) was utilized as objective function to determine optimal PID controller settings. The two PID controllers are simultaneously being optimized to find the optimal PID parameters. The performances of the control system are observed for both the changes of set point and disturbance value. The performance showed by the system using DA method is better than BLT method. DA method did improve the stability of the system towards the step changes and has a lower IAE value.

Original languageEnglish
Title of host publicationAdvanced Industrial Technology in Engineering Physics
EditorsAgus Muhamad Hatta, Katherin Indriawati, Gunawan Nugroho, Totok Ruki Biyanto, Dhany Arifianto, Doty Dewi Risanti, Sonny Irawan
PublisherAmerican Institute of Physics Inc.
ISBN (Electronic)9780735418189
DOIs
Publication statusPublished - 29 Mar 2019
Event2nd Engineering Physics International Conference 2018, EPIC 2018 - Surabaya, Indonesia
Duration: 31 Oct 20182 Nov 2018

Publication series

NameAIP Conference Proceedings
Volume2088
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

Conference2nd Engineering Physics International Conference 2018, EPIC 2018
Country/TerritoryIndonesia
CitySurabaya
Period31/10/182/11/18

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