Performance of Soft Computing Controllers in Hemodialysis Machines

József Klespitz, Márta Takács, I. Rudas, L. Kovács

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Hemodialysis machines have an important role in the support and maintenance of life functions, wherein the strict control of peristaltic pumps is a serious need. The current paper targets to present soft computing methods, which can be applied for the peristaltic pumpcontrol problem, demonstrating their applicability on real systems as well. The performances of these controllers are compared with those of the classical PID controller, in order to highlight the advantages and applicability of these modern control strategies over classical controllers. An adaptive fuzzy-logic system and an adaptive neuro-fuzzy inference system were designed to fulfill the proposed control criteria. The requirements for the sought controller were formulated in three aspects: to be fast, to eliminate the residual error, and to be insensitive to disturbances. The designed controllers were compared and the one demonstrating the best performance has been tested on a real system as well.

Original languageEnglish
Article number56
Pages (from-to)414-422
Number of pages9
JournalInternational Journal of Fuzzy Systems
Volume17
Issue number3
DOIs
Publication statusPublished - Sep 1 2015

Fingerprint

Soft computing
Soft Computing
Controller
Controllers
Adaptive Neuro-fuzzy Inference System
Computing Methods
Fuzzy Logic System
PID Controller
Pump
Control Strategy
Fuzzy inference
Maintenance
Eliminate
Disturbance
Fuzzy logic
Target
Pumps
Requirements

Keywords

  • ANFIS
  • Fuzzy control
  • Hemodialysis
  • Peristaltic pump
  • PID controller
  • Soft computing

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software
  • Computational Theory and Mathematics
  • Theoretical Computer Science

Cite this

Performance of Soft Computing Controllers in Hemodialysis Machines. / Klespitz, József; Takács, Márta; Rudas, I.; Kovács, L.

In: International Journal of Fuzzy Systems, Vol. 17, No. 3, 56, 01.09.2015, p. 414-422.

Research output: Contribution to journalArticle

@article{2af8a6221fd54a409b3a939c5d3e1316,
title = "Performance of Soft Computing Controllers in Hemodialysis Machines",
abstract = "Hemodialysis machines have an important role in the support and maintenance of life functions, wherein the strict control of peristaltic pumps is a serious need. The current paper targets to present soft computing methods, which can be applied for the peristaltic pumpcontrol problem, demonstrating their applicability on real systems as well. The performances of these controllers are compared with those of the classical PID controller, in order to highlight the advantages and applicability of these modern control strategies over classical controllers. An adaptive fuzzy-logic system and an adaptive neuro-fuzzy inference system were designed to fulfill the proposed control criteria. The requirements for the sought controller were formulated in three aspects: to be fast, to eliminate the residual error, and to be insensitive to disturbances. The designed controllers were compared and the one demonstrating the best performance has been tested on a real system as well.",
keywords = "ANFIS, Fuzzy control, Hemodialysis, Peristaltic pump, PID controller, Soft computing",
author = "J{\'o}zsef Klespitz and M{\'a}rta Tak{\'a}cs and I. Rudas and L. Kov{\'a}cs",
year = "2015",
month = "9",
day = "1",
doi = "10.1007/s40815-015-0056-x",
language = "English",
volume = "17",
pages = "414--422",
journal = "International Journal of Fuzzy Systems",
issn = "1562-2479",
publisher = "Chinese Fuzzy Systems Association",
number = "3",

}

TY - JOUR

T1 - Performance of Soft Computing Controllers in Hemodialysis Machines

AU - Klespitz, József

AU - Takács, Márta

AU - Rudas, I.

AU - Kovács, L.

PY - 2015/9/1

Y1 - 2015/9/1

N2 - Hemodialysis machines have an important role in the support and maintenance of life functions, wherein the strict control of peristaltic pumps is a serious need. The current paper targets to present soft computing methods, which can be applied for the peristaltic pumpcontrol problem, demonstrating their applicability on real systems as well. The performances of these controllers are compared with those of the classical PID controller, in order to highlight the advantages and applicability of these modern control strategies over classical controllers. An adaptive fuzzy-logic system and an adaptive neuro-fuzzy inference system were designed to fulfill the proposed control criteria. The requirements for the sought controller were formulated in three aspects: to be fast, to eliminate the residual error, and to be insensitive to disturbances. The designed controllers were compared and the one demonstrating the best performance has been tested on a real system as well.

AB - Hemodialysis machines have an important role in the support and maintenance of life functions, wherein the strict control of peristaltic pumps is a serious need. The current paper targets to present soft computing methods, which can be applied for the peristaltic pumpcontrol problem, demonstrating their applicability on real systems as well. The performances of these controllers are compared with those of the classical PID controller, in order to highlight the advantages and applicability of these modern control strategies over classical controllers. An adaptive fuzzy-logic system and an adaptive neuro-fuzzy inference system were designed to fulfill the proposed control criteria. The requirements for the sought controller were formulated in three aspects: to be fast, to eliminate the residual error, and to be insensitive to disturbances. The designed controllers were compared and the one demonstrating the best performance has been tested on a real system as well.

KW - ANFIS

KW - Fuzzy control

KW - Hemodialysis

KW - Peristaltic pump

KW - PID controller

KW - Soft computing

UR - http://www.scopus.com/inward/record.url?scp=84940920417&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84940920417&partnerID=8YFLogxK

U2 - 10.1007/s40815-015-0056-x

DO - 10.1007/s40815-015-0056-x

M3 - Article

AN - SCOPUS:84940920417

VL - 17

SP - 414

EP - 422

JO - International Journal of Fuzzy Systems

JF - International Journal of Fuzzy Systems

SN - 1562-2479

IS - 3

M1 - 56

ER -