Mathematical modeling and development of a low cost fuzzy gain schedule neutralization control system

Rodrigo Sislian, Flávio Vasconcelos da Silva, Rubens Gedraite, Heikki Jokinen, Dhanesh Kattipparambil Rajan

    Research output: Contribution to journalArticleScientificpeer-review

    1 Citation (Scopus)

    Abstract

    This paper has focused on the development of a Low-Cost Fuzzy Gain Schedule Neutralization Control System. The system dynamics has been identified for different operational conditions and the empirical models parameters were calculated. The implementation and instrumentation of a typical Neutralization System using low cost elements, with an appropriate monitoring, control and data acquisition of the process variables has been successfully implemented, as well as the Fuzzy Gain Schedule pH neutralization controller. As inputs it has been used the Auxiliary Variable, defined with the linguist terms as Acid, Neutral and Alkaline by three trapezoidal membership functions, as well as the control error and the change in the control error, both defined by five triangular membership functions. The controller outputs were defined for the Acid and Alkali pumps by 18 triangular membership functions and it was defined a set of 50 fuzzy rules. The development of the control system considered in this paper reveals an attractive industrial application perspective, representing a potential application for water consumption reduction in industry, based on low cost elements.

    Original languageEnglish
    Pages (from-to)353-357
    Number of pages5
    JournalEngineering Letters
    Volume24
    Issue number3
    Publication statusPublished - 2016
    Publication typeA1 Journal article-refereed

    Keywords

    • Fuzzy control
    • Mathematical modeling
    • Neutralization
    • Water consumption reduction

    Publication forum classification

    • No publication forum level

    ASJC Scopus subject areas

    • Engineering(all)

    Fingerprint

    Dive into the research topics of 'Mathematical modeling and development of a low cost fuzzy gain schedule neutralization control system'. Together they form a unique fingerprint.

    Cite this