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EN
The results of a modelling of big size single crystal ZnGeP2 growth dynamics in the multi-zone thermal installation based on the vertical variant of the Bridgman technique are given. Trustworthiness of the results modeling is achieved by means of creation of the mathematical model taking into account the particularities of the installation as well as the changes in installation work volume during crystallization. Temperature field changes during crystal growth by numerical technique were examined. It is demonstrated that growth container moving has a significant impact on temperature field in work volume and crystallization isotherm local position. Thus, the actual crystal growth rate differs from the nominal velocity of growth container moving. The data received as a result of modelling should be taken into account in new equipment designing, crystallization process control system development and crystal growth experiments planning.
2
Content available Multi-loop control system design
EN
The approach based on a special case of the Laplace transform, which allows to design multi-loop system is considered. The tuning regulators program on the base of this approach is developed. The numerical example is shown.
EN
Practice demonstrates that most of existing methods and techniques of adjustment of the automatic control systems cannot provide the appropriate quality of the systems performing. That is why nowadays main attention is paid to adaptive methods and algorithms. In this paper, the Real Interpolation Method is offered for creation of adaptive Automatic Control Systems. It is based on use of a special case of the Laplace transformation, when the complex variable p = delta + j*omega comes to real part delta. Due to this approach the number of operations is decreased more than twice in comparison with the frequency domain methods and it considerably simplifies algorithms of self-adjustment of Automatic Control Systems.
EN
In this paper, the problem of construction of the hardware-software means intended for maintenance of manual and automated regimes of automatic control system adjustment is considered. For the solution of the problem, the Real Interpolation Method is offered. Two important procedures which guarantee decreasing of computation costs in comparison with traditional methods are in its basis. Firstly, a special discrete transformation of time functions is used and derivable functions-images have real argument. Secondly, these functions are replaced with discrete forms, which can describe control system, its elements and signals. The offered way of problem decision is illustrated with numerical example.
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