MATHEMATICAL MODELING OF FRINGE FIELDS IN BEAM LINE CONTROL SYSTEMS

Author(s):  
Yu. V. TERESHONKOV
2004 ◽  
Vol 19 (2) ◽  
pp. 36-39
Author(s):  
Dragan Toprek ◽  
Iwo Formanoy ◽  
Sytze Brandenburg

At Kernfysisch Versneller Institute, optical properties of injection transport beam were studied. Measurements of beam size and emittance determined by "varying quadrupole method" are compared with calculations including fringe fields up to the third order with the COSYINFINITY code. Calculations and measurements qualitatively match; the calculations reflect the observed large beam losses. On the basis of the calculations new settings have been determined, resulting in a significant increase of the transmission. To achieve full transmission a complete redesign of the beam line is needed, in particular of the bending magnets.


Author(s):  
Mária Tóthová ◽  
Milan Balara ◽  
Ján Dubják

The automatic heating control systems seem to be the nonlinear systems with thermal inertias and time delay. The controller is also nonlinear because its information and power signals are limited. Application of methods, which are available for nonlinear systems together with computer simulation and mathematical modeling, create possibility to reach serious information about researched system. The paper contains the heating system model with the cascade control, simulation model of this system and some simulation results created in Matlab/Simulink environment.


2016 ◽  
Vol 5 ◽  
pp. 25-36 ◽  
Author(s):  
Valery Dudykevych ◽  
Blintsov Oleksandr

The definition of a new class of control objects is proposed. It is an underwater complex with flexible tethers (UCFT) for which there is the need to automate motion control under uncertainty and nonstationarity of own parameters and external disturbances. Classification of marine mobile objects and characteristics of the flexible tethers as UCFT elements is given. The basic UCFTs configurations that are used in the implementation of advanced underwater technologies are revealed. They include single-, double- and three-linked structures with surface or underwater support vessels and self-propelled or towed underwater vehicles. The role of mathematical modeling in tasks of motion control automation is shown. The tasks of UCFT mathematical modeling are formulated for synthesis and study of its automatic control systems. Generalized structures of mathematical models of UCFT basic elements are proposed as the basis for the creation of simulating complex to study the dynamics of its motion. The tasks of UCFT identification as a control object are formulated. Their consistent solution will help to obtain a UCFT mathematical model. The basic requirements for UCFT automatic motion control systems are determined. Their satisfaction will ensure implementation of selected underwater technology. Areas of development of synthesis methods of UCFT automatic control systems are highlighted.


2013 ◽  
Vol 2013 ◽  
pp. 1-4 ◽  
Author(s):  
Tsan-Ming Choi ◽  
Xiaohang Yue ◽  
Chun-Hung Chiu ◽  
Pui-Sze Chow

2020 ◽  
Vol 176 ◽  
pp. 03007
Author(s):  
Aleksey Brusenkov ◽  
Vasiliy Kapustin ◽  
Vladimir Nemtinov ◽  
Yulia Nemtinova

In recent years, the technical level of agricultural production has increased significantly, successfully introduced new technological techniques, means of mechanization and automation of production in crop and livestock. At the same time, further progress in this direction is impossible without systematically organized work on the development and implementation of modern automatic control systems for various processes. Works in this direction are based primarily on a detailed study of the properties of various objects of agricultural production, as the basis for the analysis and synthesis of effective automatic control systems is mathematical modeling of real processes and devices. Recently, there has been a transition from the modeling of individual devices to the modeling of complex technological schemes, which is largely due to a significant increase in the complexity and dimension of the problems to be solved. Therefore, this approach allows you to set and solve optimal control problems not only for individual devices, but for entire technological complexes, which in turn will provide a significant economic effect and will be widely used in solving many engineering problems.


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