Modelling module of the intelligent control system for the variable volume pressure filter

S-L. Jämsä-Jounela; S. Toth; Marja Oja; K. Junkkarinen

doi:10.1016/S1474-6670(17)35847-0

Modelling module of the intelligent control system for the variable volume pressure filter

S-L. Jämsä-Jounela
, S. Toth
, Marja Oja
, K. Junkkarinen

Research output: Contribution to journal › Conference article › Scientific › peer-review

Abstract

Artificial Intelligence methods like expert systems, fuzzy logic and neural networks have proved to be excellent tools for the control of mineral processes. This technology has been currently embedded also directly into the process equipment like flotation cells end dewatering filters. This paper presents the modelling module of the intelligent control system for the variable volume pressure filter. The modelling module of the intelligent system utilises the real-time methods for the prediction of the filtration behaviour; one of them based on the new filtration model. The classical filtration model will also be tested and the recursive least square identification method. Finally the simulation results and the long-term testing results at the pilot plant will be presented.

Original language	English
Pages (from-to)	1-6
Journal	IFAC Proceedings Volumes
Volume	31
Issue number	23
DOIs	https://doi.org/10.1016/S1474-6670(17)35847-0
Publication status	Published - 1998
MoE publication type	A4 Conference publication
Event	IFAC Symposium on Automation in Mining, Mineral and Metal Processing - Cologne, Germany Duration: 1 Sept 1998 → 3 Sept 1998 Conference number: 9

Keywords

expert system
modelling
on-line support systems
pressure filters

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10.1016/S1474-6670(17)35847-0

Cite this

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title = "Modelling module of the intelligent control system for the variable volume pressure filter",

abstract = "Artificial Intelligence methods like expert systems, fuzzy logic and neural networks have proved to be excellent tools for the control of mineral processes. This technology has been currently embedded also directly into the process equipment like flotation cells end dewatering filters. This paper presents the modelling module of the intelligent control system for the variable volume pressure filter. The modelling module of the intelligent system utilises the real-time methods for the prediction of the filtration behaviour; one of them based on the new filtration model. The classical filtration model will also be tested and the recursive least square identification method. Finally the simulation results and the long-term testing results at the pilot plant will be presented.",

keywords = "expert system, modelling, on-line support systems, pressure filter, expert system, modelling, on-line support systems, pressure filter, expert system, modelling, on-line support systems, pressure filters",

author = "S-L. J{\"a}ms{\"a}-Jounela and S. Toth and Marja Oja and K. Junkkarinen",

year = "1998",

doi = "10.1016/S1474-6670(17)35847-0",

language = "English",

volume = "31",

pages = "1--6",

journal = "IFAC Proceedings Volumes",

issn = "1474-6670",

publisher = "International Federation of Automatic Control (IFAC)",

number = "23",

note = "IFAC Symposium on Automation in Mining, Mineral and Metal Processing, MMM ; Conference date: 01-09-1998 Through 03-09-1998",

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TY - JOUR

T1 - Modelling module of the intelligent control system for the variable volume pressure filter

AU - Jämsä-Jounela, S-L.

AU - Toth, S.

AU - Oja, Marja

AU - Junkkarinen, K.

N1 - Conference code: 9

PY - 1998

Y1 - 1998

N2 - Artificial Intelligence methods like expert systems, fuzzy logic and neural networks have proved to be excellent tools for the control of mineral processes. This technology has been currently embedded also directly into the process equipment like flotation cells end dewatering filters. This paper presents the modelling module of the intelligent control system for the variable volume pressure filter. The modelling module of the intelligent system utilises the real-time methods for the prediction of the filtration behaviour; one of them based on the new filtration model. The classical filtration model will also be tested and the recursive least square identification method. Finally the simulation results and the long-term testing results at the pilot plant will be presented.

AB - Artificial Intelligence methods like expert systems, fuzzy logic and neural networks have proved to be excellent tools for the control of mineral processes. This technology has been currently embedded also directly into the process equipment like flotation cells end dewatering filters. This paper presents the modelling module of the intelligent control system for the variable volume pressure filter. The modelling module of the intelligent system utilises the real-time methods for the prediction of the filtration behaviour; one of them based on the new filtration model. The classical filtration model will also be tested and the recursive least square identification method. Finally the simulation results and the long-term testing results at the pilot plant will be presented.

KW - expert system

KW - modelling

KW - on-line support systems

KW - pressure filter

KW - expert system

KW - modelling

KW - on-line support systems

KW - pressure filter

KW - expert system

KW - modelling

KW - on-line support systems

KW - pressure filters

U2 - 10.1016/S1474-6670(17)35847-0

DO - 10.1016/S1474-6670(17)35847-0

M3 - Conference article

SN - 1474-6670

VL - 31

SP - 1

EP - 6

JO - IFAC Proceedings Volumes

JF - IFAC Proceedings Volumes

IS - 23

T2 - IFAC Symposium on Automation in Mining, Mineral and Metal Processing

Y2 - 1 September 1998 through 3 September 1998

ER -

Modelling module of the intelligent control system for the variable volume pressure filter

Abstract

Keywords

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