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Разработка интервальных методов и программных средств синтеза системы оптимального управления процессами первичного и мелкого дробления горных руд

Разработка интервальных методов и программных средств синтеза системы оптимального управления процессами первичного и мелкого  дробления горных руд
Uniqueness/innovativeness

As a result of the implementation of the proposed project, a formalized description of the synthesis algorithms for systems of optimal control of the processes of primary and fine crushing of ore ores will be carried out on the basis of the concepts of interval presentation of initial data; the concept and methodology of synthesis of systems for optimal control of the processes of primary and fine crushing of ore materials in conditions of interval-parametric uncertainty have been developed ;; methods of interval identification of the operating modes of the primary and fine crushing of ore materials by temporary realizations by determining their operating mode and its dimensions, as well as reconstructing the model by adjusting the parameters of its intelligent model according to the selected criterion; methods and algorithms for increasing the accuracy of models of nonlinear processes of primary and fine crushing of ore materials by their structural-parametric identification using, in contrast to the known approaches, the composition of methods for global and local optimization of intelligent models.

Designation purpose

Based on the methods of system analysis, control theory and solution of interval problems, conceptual foundations are formulated and effective algorithms for control of dynamic systems under conditions of interval uncertainty are developed.

Project description

The project proposes modern methods of system analysis and various models for describing uncertain parameters and methods for solving problems in conditions of uncertainty:
1. Probabilistic and statistical;
2. Methods based on the concept of "fuzzy set and fuzzy logic".
3. Methods of interval analysis. Interval computing applications are possible wherever the uncertainty of the raw data can be represented in interval form. Known works related to the use of interval methods in metrology, biology, electrical engineering, radio electronics, geodesy, space research and other fields of science and technology. The application of interval methods in areas such as mining has been little studied. Therefore, further development of interval variants of methods for analyzing dynamic systems, namely, the development of methods and software for synthesizing a system for optimal control of the processes of primary and fine crushing of ores with interval uncertainty seems to be very urgent.

Indicators

Name of the project
Name of the project
Разработка интервальных методов и программных средств синтеза системы оптимального управления процессами первичного и мелкого дробления горных руд
Foreing investor
Foreing investor
no
product patent
product patent
DGU 03406 26.10.2015г.; DGU 03408 26.10.2015г.
The branch in which the project is being implemented
The branch in which the project is being implemented
Digital and information technology
Project readlines
Project readlines
100%
Project location
Project location
Uzbekistan
Project payback period
Project payback period (month.)
24
Project Development Cost
Project Development Cost
48 000 000 sum
Required Project Investment
Required Project Investment
48 000 000 sum
Own funds
Own funds
There is none
Final product and design capacity
Final product and design capacity
Not specifed

Documents

The presentation is available and can be provided at the request of interested parties.

Project additional info

Stages of project implementation:
Stage 1. A formalized description of algorithms for the synthesis of systems for optimal control of the processes of primary and fine crushing of mining ores based on the concepts of interval presentation of initial data will be made. A concept and methodology for the synthesis of systems for optimal control of the processes of primary and fine crushing of ore materials under conditions of interval uncertainty will be developed.
Stage 2. Interval methods for parametric identification of the operating modes of the processes of primary and fine crushing of ore materials will be developed; algorithms for increasing the accuracy of models of primary and fine crushing of ore materials.
Stage 3. Interval-adaptive systems for optimal control of the processes of primary and fine crushing of ore materials will be developed. A set of algorithms for interval-adaptive optimal control of the processes of primary and fine crushing of ore materials will be developed based on the concepts of interval presentation of initial data.
Stage 4. A software package will be developed for modeling and synthesis of optimal control systems for the processes of primary and fine crushing of ore materials with interval uncertainty of the initial information. Debugging and testing of the software complex will be carried out; processing the results of solving model problems based on the concepts of interval representation of the initial data.


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