Fractional order PID (FOPID) controller based temperature control of bioreactor

Dharmendra Tiwari, Nikhil Pachauri, Asha Rani, Vijander Singh

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

13 Citations (Scopus)

Abstract

The present work is focused on precise temperature control of continuous bioreactor. The control of such process is difficult due to its highly nonlinear and dynamic nature. A Fractional Order PID (FOPID) controller is therefore designed for the purpose and Dragonfly Algorithm (DA) is used to evaluate the design parameters. DA is based on swarm intelligence (SI) having certain advantages whereas fractional order PID increases the degrees of freedom. The proposed controller may provide good control performance as it utilizes the advantages of both techniques. The Genetic Algorithm (GA) and Simulated Annealing (SA) are also used for optimization of the parameters. The performance of designed controllers is analyzed for set point tracking, and disturbance rejection. Results reveal that DA-FOPID outperforms the other designed controllers.

Original languageEnglish
Title of host publicationInternational Conference on Electrical, Electronics, and Optimization Techniques, ICEEOT 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2968-2973
Number of pages6
ISBN (Electronic)9781467399395
DOIs
Publication statusPublished - 22-11-2016
Event2016 International Conference on Electrical, Electronics, and Optimization Techniques, ICEEOT 2016 - Palnchur, Chennai, Tamilnadu, India
Duration: 03-03-201605-03-2016

Publication series

NameInternational Conference on Electrical, Electronics, and Optimization Techniques, ICEEOT 2016

Conference

Conference2016 International Conference on Electrical, Electronics, and Optimization Techniques, ICEEOT 2016
Country/TerritoryIndia
CityPalnchur, Chennai, Tamilnadu
Period03-03-1605-03-16

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials
  • Control and Optimization

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