COMPUTER EXPERIMENT FOR TESTING THE APPROXIMATION ALGORITHM OF PARAMETRIC OPTIMIZATION OF HYDRAULIC SYSTEMS

2016 ◽  
Vol 9 (1) ◽  
pp. 29-33
Author(s):  
Мезенцев ◽  
A. Mezentsev ◽  
Сазонова ◽  
Svetlana Sazonova

The results of computational experiments for testing the approximation algorithm of parametric optimization of hydraulic systems. The object of investigation was adopted SIS theme of gas supply of low pressure residential neighborhood.

2016 ◽  
Vol 8 (4) ◽  
pp. 64-68
Author(s):  
Сазонова ◽  
Svetlana Sazonova

The results of computational experiments to assess the impact of parametric optimization of hydraulic systems on economic performance. The object of the research system of low-pressure gas supply of a residential district was chosen. The purpose of research is to optimize the economic parameters for the number of backup sites, sufficient to provide the desired level of reliability and security in the operation of the systems studied.


2016 ◽  
Vol 9 (1) ◽  
pp. 48-51
Author(s):  
Сазонова ◽  
Svetlana Sazonova

Problem definition of parametrical optimization of hydraulic systems is considered. The general problem of parametrical optimization for systems of water supply and gas supply is presented in the form of a problem of mathematical programming. As a result of the solution of the considered task optimum parameters of the studied systems have to be determined, the required levels of reliability and safety when functioning are ensured.


2016 ◽  
Vol 9 (1) ◽  
pp. 24-29
Author(s):  
Мезенцев ◽  
A. Mezentsev ◽  
Сазонова ◽  
Svetlana Sazonova

The peculiarities of construction and implementation of approximation algorithm taking into account technological and regime of restrictions in the problem of parametric optimization of hydraulic systems.


1999 ◽  
Vol 1999 (4) ◽  
pp. 357-363 ◽  
Author(s):  
Jussi AALTONEN ◽  
Kari KOSKINEN ◽  
Matti VILENIUS ◽  
Pekka KUNTTU

Author(s):  
Mariia Serediuk ◽  

By means of mathematical modeling the patterns of change the physical and chemical properties, necessary for calculations the gas networks of low pressure, for gas-hydrogen mixtures with volume fraction of hydrogen from zero to 100 % were found. The regularities of gas-dynamic calculations of lowpressure steel gas networks in the case of transportation of gas-hydrogen mixtures with different volume fraction of hydrogen while maintaining the costs and energy consumption of the elements of the gas supply system, typical for the transportation of natural gas were established.


Author(s):  
Nathan Keller ◽  
Monika Ivantysynova

Closed-circuit hydraulic systems, like hydrostatic transmissions and Displacement Controlled (DC) architecture systems, require an integrated low-pressure system. These low-pressure systems provide several important functions to the hydraulic system. They prevent cavitation, provide cooling flow through the cooler, replenish the hydraulic system with cool oil, assist in the oil filtration process, provide pressure to the hydraulic unit control systems and, in the case of DC systems with differential cylinders, balance the unequal cylinder flow. Traditionally, the sizing of low-pressure systems is accomplished using a static sizing approach. In this approach, a constant efficiency of the hydraulic units is assumed, and the system is operating at a maximum power condition. The result is often an oversized charge pump and accumulator, if one is present. A dynamic sizing method has been developed using MATLAB/Simulink® with high fidelity empirical loss models for hydraulic displacement machines. Using realistic duty cycles for hydraulic systems and measured data, the low-pressure system can be accurately sized. Dynamically sizing low-pressure systems reduce parasitic losses on the prime mover because of smaller pump sizes, thus freeing power to be used elsewhere. Another concept presented in this work is the possibility of isolating the hydraulic unit control pressure supply and the low-pressure system. Realistic examples have been simulated to demonstrate the power savings of dynamically sizing low-pressure systems.


1997 ◽  
Vol 11 (4) ◽  
pp. 509-522 ◽  
Author(s):  
Shalabh Bhatnagar ◽  
Vivek S. Borkar

A two–time scale stochastic approximation algorithm is proposed for simulation-based parametric optimization of hidden Markov models, as an alternative to the traditional approaches to “infinitesimal perturbation analysis.” Its convergence is analyzed, and a queueing example is presented.


1984 ◽  
Vol 63 (9) ◽  
pp. 883 ◽  
Author(s):  
Leslie Rendell-Baker ◽  
James A. Meyer
Keyword(s):  

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