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AUTOMATION 60-th ANNIVERSARY OF JSC “SOYUZTSVETMETAVTOMATIKA”
Название Experience of technological processes optimal control (milling complexes) automated systems creation
DOI 10.17580/tsm.2015.09.08
Автор Sokolov I. V., Shapirovskiy M. R., Kuzyakov A. V.
Информация об авторе

JSC “Soyuztsvetmetavtomatika”, Moscow, Russia:

I. V. Sokolov, Head of Automatic Process Control System Department, e-mail: scma@scma.ru
M. R. Shapirovskiy, Leading Researcher
A. V. Kuzyakov, Researcher

Реферат

The problems of automatic optimal control systems of technological complexes of grinding non-ferrous and ferrous metals as objects with insufficient and noisy software are considered. A number of key variables (process parameters) are not directly measurable, can be estimated using indirect information that contains significant interference in this problem. This requires the creation of smart devices or even entire control system on the basis of the original special mathematical methods. For automatic process control grinding systems JSC “Soyuztsvetmetavtomatika” has created the devices such as granulometer PIK-074P, which allows to evaluate particle size distribution (PSD) of ground ore, vibroacoustic analyzers of mills loading VAZM-1 VAZM-1U, VAZM-1M, which allow the assessment of the technological burden mills , the current ore grindability and predict the time of a possible overload of mills. The appearance of these intelligent devices allowed developing automated systems of optimal control processes in all types of grinding mills, which has led to the creation of intelligent control devices such as VAZM-2U, which are incorporated in the original standard control algorithms. These devices can be sufficiently adapted to other process systems. The examples of structures of automatic control systems are given in the article.

Ключевые слова Automatic optimal control system, filtering, noisy area, smoothing algorithms, indirect measurements, input actions, output effects, control actions, disturbing influences
Библиографический список

1. Wilbur Anderson. Statisticheskiy analiz vremennykh ryadov (The Statistical Analysis of Time Series). Moscow : Mir, 1976. 756 p.

2. Box George E. P., Jenkins Gwilym M. Time Series Analysis Forecasting and Control. San Francisco, 1970.
3. Pieter Eykhoff, A. Vanek, Yoshikazu Sawaragi. Sovremennye metody identifikatsii sistem (Trends and progress in system identification). Translated from English. Moscow : Mir, 1983. 400 p.
4. D. Grop. Metody identifikatsii sistem (System Identification Methods). Translated from English. Moscow : Mir, 1979. 302 p.
5. Ulitenko K. Ya., Sokolov I. V., Markin R. P., Naydenov A. P. Avtomatizatsiya protsessov izmelcheniya v obogashchenii i metallurgii (Automation of grinding processes in concentration and metallurgy). Tsvetnye Metally = Non-ferrous metals. 2005. No. 10, Special issue. pp. 54–60.
6. Draper N. R., Smith H. Applied Regression Analysis. New York, 1966.
7. Sarada Prasad Das, Debi Prasad Das, Santosh Kumar Behera, Barada Kanta Mishra. Interpretation of mill vibration signal via wireless sensing. Minerals Engineering. 2011. Vol. 24, iss. 3–4. pp. 245–251.
8. Sun Yi., Nelson P. W., Ulsoy A. G. Proportional-Integral Control of First-Order Time-Delay Systems via Eigenvalue Assignment. IEEE Transactions on Control Systems Technology. 2013. Vol. 21, Iss. 5. pp. 1586–1594.
9. Ulitenko K. Ya., Popov V. P. Avtomaticheskaya zashchita barabannykh melnits ot tekhnologicheskikh peregruzok (Automatic protection of tumbling mills from technological overloads). Obogashchenie Rud = Mineral processing. 2004. No. 2. pp. 38–39.
10. Pozharskiy Yu. M., Poleshchenko D. A., Podkovyrov I. Yu. Opredelenie stepeni zapolneniya melnitsy mokrogo samoizmelcheniya s primeneniem besprovodnykh tekhnologiy (Definition of the grade of wet grinding mill filling using wireless technologies). Gornyi Zhurnal = Mining Journal. 2013. No. 2. pp. 115–118.
11. Akutowicz E. J. On an explicit formula in least squares prediction, Math. Scand. 1957. No. 5. pp. 261–266.
12. Agoshkov G. I. Metody optimalnogo upravleniya i sopryazhennykh uravneniy v zadachakh matematicheskoy fiziki (Methods of optimal control and adjoint equations in mathematical physics sums). Moscow : Institute of Calculus Mathematics of Russian Academy of Sciences, 2003. 256 p.
13. Grinman I. G., Sakbaev Zh. M., Zhotobaev Zh. R. Izmereniya stepeni zagruzki melnitsy rudoy s pomoshchyu teleizmeritelnogo datchika (Measurements of efficiency of mill loading with ore using telemetering sensor). Obogashchenie Rud = Mineral processing. 1962. No. 1. pp. 27–29.
14. Geyzenblazen B. E., Lorman L. T., Levchenko M. N. Razrabotka i issledovaniya radioizotopnogo izmeritelya zapolneniya melnits mokrogo samoizmelcheniya (Development and researches of radioisotropic measuring instrument of wet grinding mill filling). Obogashchenie Rud = Mineral processing. 1978. No. 2. pp. 38–41.
15. Maryuta A. N., Kochura E. V. Zavisimosti energeticheskikh parametrov elektrodvigatelya sharovoy melnitsy ot zagruzki ee sharami i izmelchaemym materialom (Dependence of energetic parameters of electric ball mill motor on its charging with balls and grinding material). Izvestiya vuzov. Gornyy zhurnal = Proceedings of Universities. Mining Journal. 1973. No. 2. pp. 23–28.
16. Sokolov I. V. Opyt razrabotki vnedreniya avtomatizirovannoy sistemy upravleniya tekhnologicheskim protsessom izmelcheniya (Experience of development of introduction of industrial control system of technological grinding process). Available at : http://www.scma.ru/Articles/Opyt%20ASUTP.doc.

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