An Improved Performance of Fuzzy logic Based Controller Design for Bioreactor Process Plant

Daniel A. Oladele and Farouq Eneuma Shaibu
Additional contact information
Daniel A. Oladele: Federal Radio Corporation of Nigeria (FRCN), Garki, F.C.T, Abuja, Nigeria
Farouq Eneuma Shaibu: Federal Radio Corporation of Nigeria (FRCN), Garki, F.C.T, Abuja, Nigeria

European Journal of Engineering and Technology Research, 2019, vol. 4, issue 9, 177-180

Abstract: Proportional Integral Derivative, PID control is one of the earlier control strategies and most widely used controller for industries. A nonlinear technique, Mamdani structure was used for the bioreactor Simulink model. The fuzzy logic and its structure of the controller were adopted to set the fuzzy logic input member function. The fuzzy logic controller automatically tuned the PID controller, using an existing complex mapping function to generate the suitable values for the bioreactor process plant.

Keywords: Fuzzy Logic; PID Controller; Bioreactor; Delay Time (search for similar items in EconPapers)
Date: 2019
References: Add references at CitEc
Citations:

Downloads: (external link)
https://eu-opensci.org/index.php/ejeng/article/view/61532 Abstract page (text/html)
https://eu-opensci.org/index.php/ejeng/article/download/61532/12201 Full text (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:epw:ejeng0:v:4:y:2019:i:9:id:61532

DOI: 10.24018/ejeng.2019.4.9.1532

Access Statistics for this article

More articles in European Journal of Engineering and Technology Research from European Open Science
Bibliographic data for series maintained by Support ().