Skip to main content
SpringerLink
Log in

Genetic algorithm based fuzzy logic control of a fed-batch fermentor

  • Article
  • Published:
Bioprocess Engineering Aims and scope Submit manuscript

Abstract

In the normal fuzzy logic control (FLC) system, both the membership functions and the rule sets are usually decided upon subjectively, case by case. The application of Genetic Algorithm(GA) could lead to proper selection of membership functions and rule base objectively. In this paper, the optimisation of membership functions of a FLC for a fed-batch fermentor is carried out with help of Genetic Algorithm (GA). Results are found to be satisfactory.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

Author information

Authors and Affiliations

  1. School of Instrumentation & Electronics, MIT Campus, Anna University, Chennai (Madras)-600 044, India Tel.: 91-44-2380695, Fax: 91-44-2368403 e-mail: srenga@giasmd01.vsnl.net.in, , , , , , IN

    M. Ranganath, S. Renganathan & Ch. Srinivasa Rao

Authors
  1. M. Ranganath
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. S. Renganathan
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Ch. Srinivasa Rao
    View author publications

    You can also search for this author in PubMed Google Scholar

Additional information

Received: 9 September 1998

Rights and permissions

Reprints and permissions

About this article

Cite this article

Ranganath, M., Renganathan, S. & Srinivasa Rao, C. Genetic algorithm based fuzzy logic control of a fed-batch fermentor. Bioprocess Engineering 21, 215–218 (1999). https://doi.org/10.1007/s004490050666

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1007/s004490050666

Keywords

Search

Navigation