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Development of a Low-Cost Fuzzy Gain Schedule Neutralization Control System

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

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Development of a Low-Cost Fuzzy Gain Schedule Neutralization Control System. / Sislian, Rodrigo; Da Silva, Flavio Vasconcelos; Gedraite, Rubens; Jokinen, Heikki; An, Dhanesh Kattipparambil Raj.

WCECS 2015 - World Congress on Engineering and Computer Science 2015. Vol. II Newswood Limited, 2015. p. 575-578 (Lecture Notes in Engineering and Computer Science; Vol. 2220).

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

Harvard

Sislian, R, Da Silva, FV, Gedraite, R, Jokinen, H & An, DKR 2015, Development of a Low-Cost Fuzzy Gain Schedule Neutralization Control System. in WCECS 2015 - World Congress on Engineering and Computer Science 2015. vol. II, Lecture Notes in Engineering and Computer Science, vol. 2220, Newswood Limited, pp. 575-578, WORLD CONGRESS ON ENGINEERING AND COMPUTER SCIENCE, 1/01/00.

APA

Sislian, R., Da Silva, F. V., Gedraite, R., Jokinen, H., & An, D. K. R. (2015). Development of a Low-Cost Fuzzy Gain Schedule Neutralization Control System. In WCECS 2015 - World Congress on Engineering and Computer Science 2015 (Vol. II, pp. 575-578). (Lecture Notes in Engineering and Computer Science; Vol. 2220). Newswood Limited.

Vancouver

Sislian R, Da Silva FV, Gedraite R, Jokinen H, An DKR. Development of a Low-Cost Fuzzy Gain Schedule Neutralization Control System. In WCECS 2015 - World Congress on Engineering and Computer Science 2015. Vol. II. Newswood Limited. 2015. p. 575-578. (Lecture Notes in Engineering and Computer Science).

Author

Sislian, Rodrigo ; Da Silva, Flavio Vasconcelos ; Gedraite, Rubens ; Jokinen, Heikki ; An, Dhanesh Kattipparambil Raj. / Development of a Low-Cost Fuzzy Gain Schedule Neutralization Control System. WCECS 2015 - World Congress on Engineering and Computer Science 2015. Vol. II Newswood Limited, 2015. pp. 575-578 (Lecture Notes in Engineering and Computer Science).

Bibtex - Download

@inproceedings{e1ff8bafa9314e5e9042a48f36da3d24,
title = "Development of a Low-Cost Fuzzy Gain Schedule Neutralization Control System",
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. 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.",
keywords = "Fuzzy control, Neutralization, Water consumption reduction",
author = "Rodrigo Sislian and {Da Silva}, {Flavio Vasconcelos} and Rubens Gedraite and Heikki Jokinen and An, {Dhanesh Kattipparambil Raj}",
year = "2015",
month = "10",
language = "English",
volume = "II",
series = "Lecture Notes in Engineering and Computer Science",
publisher = "Newswood Limited",
pages = "575--578",
booktitle = "WCECS 2015 - World Congress on Engineering and Computer Science 2015",

}

RIS (suitable for import to EndNote) - Download

TY - GEN

T1 - Development of a Low-Cost Fuzzy Gain Schedule Neutralization Control System

AU - Sislian, Rodrigo

AU - Da Silva, Flavio Vasconcelos

AU - Gedraite, Rubens

AU - Jokinen, Heikki

AU - An, Dhanesh Kattipparambil Raj

PY - 2015/10

Y1 - 2015/10

N2 - 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. 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.

AB - 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. 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.

KW - Fuzzy control

KW - Neutralization

KW - Water consumption reduction

M3 - Conference contribution

VL - II

T3 - Lecture Notes in Engineering and Computer Science

SP - 575

EP - 578

BT - WCECS 2015 - World Congress on Engineering and Computer Science 2015

PB - Newswood Limited

ER -