ABOUT DEVELOPMENT OF ADAPTIVE CONTROL SYSTEM OF IRON ORE CONCENTRATE FILTRATION PROCESS
Abstract
Abstract: The research is devoted to the development of adaptive automatic control system of filtration process. processing capacity, quality and cost of the output product of the process depend on the course of this process. Equipments efficiency, quality and cost price of the output product of the process depend on the course of this process.
Currently, disk vacuum filters are used to filter iron ore concentrate. These filters are in most cases operated by personnel manually based on the results of laboratory analyses conducted with low frequency and high delay. At the same time, to avoid exceeding the maximum permissible moisture content of sediment, the operator supports it with a certain margin, deliberately reducing the average value of discs rotational frequency. This leads to a decrease vacuum filter efficiency. As a result, taking into account the high costs at energy resources used in the filtration process, the cost price of the concentrate increases and its quality decreases.
The main objective of this study is to increase the disk vacuum filters efficiency. Herewith, the output product moisture must be maintained at the level required by the technology. At the same time, the increase of efficiency should lead to a decrease of specific energy consumption for the filtration process, and the stabilization of moisture should lead to an increase of dehydrated concentrate quality (stability of characteristics).
The ultimate goal of the current research is the development adaptive system control of iron ore concentrate filtration process based on a multiparameter extrem-fuzzy controller. During the study, it was found that at inputs of this regulator should be fed the total specific resistance of sediment and the filter cloth (integral index determined by concentrate granulometric composition and degree of filter cloth contamination) as well as the degree of approximation to extremum (maximum) of filter efficiency.
It was found that the first input parameter of regulator can be indirectly estimated on the rate module average value of valve position change installed on the vacuum pipe. The average value of this parameter is calculated during of transition process after changing task in control loops of supply pulp density of filter or vacuum in sediment set zone. The second input parameter of the regulator can be indirectly estimated by the difference of present specific efficiency and specific efficiency at the previous step of the extreme regulator work.About the Authors
Yuriy Ivanovich EremenkoRussian Federation
Sergey Yur'evich Khalapyan
Russian Federation
Aleksandr Olegovich Anpilov
Russian Federation
References
1. Safonov D.N. Upravlenie protsessom razdeleniya tekhnologicheskikh pul'p medno-nikelevogo proizvodstva v sovremennykh fil'tr-pressakh [Control of the technological pulps separation process of copper-nickel production in modern filter-presses. Cand. diss.]. Saint Petersburg, 2012. 120 p. (In Russ.).
2. Volovikov A.Yu. The technique of experiments within the frame of iron ore filtration by vacuum disc filters. Gornyi informatsionno-analiticheskii byulleten' (nauchno-tekhnicheskii zhurnal). 2013, no. 8, pp. 300‒303. (In Russ.).
3. Eremenko Yu.I., Khalapyan S.Yu., Anpilov A.O. On improving efficiency of disc vacuum filter. Sovremennye problemy gorno-metallurgicheskogo kompleksa. Nauka i proizvodstvo: materialy Dvenadtsatoi Vserossiiskoi nauchno-prakticheskoi konferentsii, s mezhdunarodnym uchastiem. Stary Oskol, 2015, vol. 2, pp. 167–171. (In Russ.).
4. Khalapyan S.Yu., Anpilov A.O. Automation of the dehydration process with the use of indirect measurements based onneural network model of disc vacuum filter.
5. Sovremennye slozhnye sistemy upravleniya: materialy Dvenadtsatoi mezhdunarodnoi nauchno-prakticheskoi konferentsii. Lipetsk, 2017, pp. 220–224. (In Russ.).
6. Khalapyan S.Yu., Anpilov A.O. Application of neural network technologies to indirect measurements in the iron ore concentrate dewatering control. Gornyi informatsionno-analiticheskii byulleten' (nauchno-tekhnicheskii zhurnal). 2017, no 12, pp. 195‒200. (In Russ.).
7. Fang M.-C., Zhuo Y.-Z., Lee Z.-Y. The application of the self-tuning neural network PID controller on the ship roll reduction in random waves. Ocean Engineering. 2010, vol. 37, no. 7, pp. 529‒538.
8. Serrano F., Caballero A., Yen K., Brezina T. Control of a Stewart platform with fuzzy logic and artificial neural network compensation. Recent Advances in Mechatronics. 2007, pp. 156‒160.
9. Gol'berg, Yu.S., Gontarenko A.A. Obezvozhivanie kontsentratov chernykh metallov [Dehydration of ferrous metals concentrates]. Moscow: Nedra, 1986, 182 p. (In Russ.).
10. Gol'berg, Yu.S., Gontarenko A.A., Barishpolets V.T., Gishchuk B.V. Protsessy i oborudovanie dlya obezvozhivaniya rud [Processes and equipment for the ores dehydration]. Moscow: Nedra, 1977, 168 p. (In Russ.).
11. Patskan A.Ya., Shchelinskii A.A., Chernik Yu.P., Zolotarev A.I. Sposob avtomaticheskogo upravleniya diskovym vakuum-fil'trom [Method of automatic control of disk vacuum filter]. Patent USSR, no. 691156. 1979. (In Russ.).
12. Goncharov Yu.G., Engel' P.S., Ryasnoi A.M. , Kaigorodtsev Yu.M., Miller A.A., Podoprigora V.P., Malyuta D.I., Khaletskii B.E. Sposob upravleniya protsessom obezvozhivaniya v vakuum-fil'trakh [Method of dehydration process control in vacuum filters]. Patent USSR, no. 601029. 1978. (In Russ.).
13. Nuraev R.Kh., Avilov V.N. Sposob avtomaticheskogo regulirovaniya protsessa fil'tratsii [Method of automatic control of filtering process]. Patent USSR, no. 381369. 1973. (In Russ.).
14. Shiryaeva E.V. Protsessy fil'trovaniya suspenzii i obezvozhivaniya osadkov na promyshlennykh vakuum-fil'troval'nykh ustanovkakh nepreryvnogo deistviya [Processes of the slurries filtration and sediments dehydration on industrial vacuum-filtration plants of continuous action. Cand. diss.]. Moscow, 2011. 130 p. (In Russ.).
15. Fan Y., Dong X., Li H. Dewatering effect of fine coal slurry and filter cake structure based on particle characteristics. Vacuum. 2015, vol. 114, pp. 54‒57.
16. Shao P., Darcovich K., McCracken T., Ordorica-Garcia G., Reith M., O’Leary S. Algae-dewatering using rotary drum vacuum filters: Process modeling, simulation and techno-economics. Chemical Engineering Journal. 2015, vol. 268, pp. 67‒75.
17. Huttunen M., Nygren L., Kinnarinen T., Häkkinen A., Lindh T., Ahola J., Karvonen V. Specific energy consumption of cake dewatering with vacuum filters. Minerals Engineering. 2017, vol. 100, pp. 144‒154.
18. Mamghaderi H., Gharabaghi M., Noaparast M. Optimization of role of physical parameters in the filtration processing with focus on the fluid flow from pore. Minerals Engineering. 2018, vol. 122, pp. 220‒226.
19. Piegat A. Fuzzy Modeling and Control. Physica-Verlag Heidelberg, 2001. (Russ. ed.: Piegat A. Nechetkoe modelirovanie i upravlenie. Moscow, BINOM. Laboratoriya znanii, 2013. 798 p.).
20. Rutkowski L. Metody i techniki sztucznej inteligencji. Inteligencja obliczeniowa. Wydawnictwo Naukowe PWN SA, 2005. (Russ. ed.: Rutkowski L. Metody i tekhnologii iskusstvennogo intellekta. Moscow, Goryachaya liniya–Telekom, 2010. 520 p.).
21. Eremenko Yu.I., Khalapyan S.Yu., Anpilov A.O. On the issue of increasing of the dehydration process efficiency control. XV Vserossiiskaya nauchno-prakticheskaya konferentsiya studentov i aspirantov. Stary Oskol, 2018, vol. 2, pp. 8–10. (In Russ.).
Supplementary files
|
1. Математическая модель системы управления процессом фильтрации | |
Subject | ||
Type | Исследовательские инструменты | |
View
(90KB)
|
Indexing metadata ▾ |
|
2. График удельной производительности дискового вакуум-фильтра | |
Subject | ||
Type | Результаты исследования | |
View
(34KB)
|
Indexing metadata ▾ |
|
3. График среднего значения модуля скорости изменения положения задвижки при смене заданий плотности пульпы питания фильтра (1) и разрежения в зоне набора осадка (2) | |
Subject | ||
Type | Результаты исследования | |
View
(84KB)
|
Indexing metadata ▾ |
Review
For citations:
Eremenko Yu.I., Khalapyan S.Yu., Anpilov A.O. ABOUT DEVELOPMENT OF ADAPTIVE CONTROL SYSTEM OF IRON ORE CONCENTRATE FILTRATION PROCESS. Izvestiya. Ferrous Metallurgy. 2019;62(5).