e-journal

Modeling and Simulation of Whole Ball Mill Grinding Plant for Integrated Control

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This paper introduces the development and implementation of a ball mill grinding circuit simulator, NEUSimMill. Compared to the existing simulators in this field which focus on process flowsheeting, NEUSimMill is designed to be used for the test and verification of grinding process control system
including advanced control system such as integrated control. The simulator implements the dynamic ball mill grinding model which formulates the dynamic responses of the process variables and the product particle size distribution to disturbances and control behaviors as well. First principles models have been used in conjunction with heuristic inference tools such as fuzzy logic and artificial neural networks: giving rise to a hybrid intelligent model which is valid across a large operating range. The model building in the simulator adopts a novel modular-based approach which is made possible by the dynamic sequential solving approach. The simulator can be initiated with connection to a real
controller to track the plant state and display in real-time the effect of various changes on the simulated plant. The simulation model and its implementation is verified and validated through a
case of application to the design, development, and deployment of optimal setting control system.
Note to Practitioners—This paper presents a simulator for the control of industrial ball mill grinding plants. It was motivated by the problem of testing control system. Advanced control system, such as the integrated control system, often has to be installed as an update to the regulatory control system of an operating plant. Using the proposed simulator, it can reduce the cost and risk of such on field testing. More specifically, the simulator can be applied to different phases of a control engineering project: (i) During the phase of control system design, the simulator can be used for gaining qualitative knowledge of the process. (ii) During the phase of development, the simulator can be used for the quantitative analysis of the dynamic performance of the local regulatory controllers and the optimal controllers. (iii) During the phase of deployment, the simulator can be used before its actual deployment for system integration plan test, performance demonstrate, and operator training. To demonstrate its usage, this
paper provides a case of application of the simulator to the design and test of the optimal setting control of a ball mill grinding plant in a real engineering project.
Index Terms—Control system test-bench, ball mill grinding process, dynamic simulation, grinding process modeling, hardware-in-the-loop simulation, hybrid intelligent modeling, integrated control, optimal setting control, simulation model verification.

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Informasi Detail

Judul Seri

IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING

No. Panggil

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Penerbit

New York : IEEE., 2014

Deskripsi Fisik

IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, VOL. 11, NO. 4, OCTOBER 2014

Bahasa

English

ISBN/ISSN

1545-5955

Klasifikasi

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Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

VOL. 11, NO. 4, OCTOBER 2014

Subjek

TEKNIK

Info Detail Spesifik

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Pernyataan Tanggungjawab

Yuli/Agus

Versi lain/terkait

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