scholarly journals REGULATION OF OUTPUT DYNAMIC CHARACTERISTICS OF ELECTRIC DISCHARGE INSTALLATIONS WITH RESERVOIR CAPACITORS

2021 ◽  
Vol 2021 (3) ◽  
pp. 3-9
Author(s):  
A.A. Shcherba ◽  
◽  
N.I. Suprunovska ◽  
M.A. Shcherba ◽  
S.S. Roziskulov ◽  
...  

The paper reveals the dependences of the output dynamic characteristics of semiconductor electric discharge installations (EDIs) with reservoir capacitors on the features of the change in the value of their capacitance. In particular, it is substantiated that for any fixed discharge duration less than the duration of reaching the maximum discharge current, an increase in the capacitance of such storage devices causes an increase in the value of the final discharge current both at aperiodic and oscillatory discharges in the linear resistance of the technological load. The change in the value of the discharge current in the load in the case of forced interruption of this current at a certain moment of time is investigated. Based on the obtained regularities, the authors of the work proposed to use the capacitance of the EDI's capacitor, which is larger than capacitance required to implement the maximum value of the discharge current in the load. Using a capacitor with a larger capacity and a fully controlled semiconductor switch in the discharge circuit of the EDI, it is possible to obtain the required maximum current value at a shorter duration of the discharge process. Thus, it is possible to regulate the main dynamic parameters of pulse currents in the load – the rate of their rise and/or their duration by changing the value of the capacitance of the discharge capacitor EDI. This approach is expedient for increasing the productivity of EDIs, focused on the production of dispersed spark powders of metals and alloys. References 15, figures 3.


Author(s):  
A.А. Shcherba ◽  
◽  
N.І. Suprunovska ◽  
M.O. Lomko ◽  
◽  
...  

Based on the analysis of transient processes of oscillatory and aperiodic discharges of the storage capacitor of the electric discharge installation to the load, it is proved that an increase in its capacity always causes an increase in the value of the discharge current corresponding to a fixed duration of the discharge, less than the duration of reaching the maximum value of the discharge current. For the capacities of the discharge capacitor varied over a wide range, the change in the value of the discharge current in the load during its forced interruption at a certain time was studied. Based on this study, we proposed a method for increasing the rate of rising of impulse currents in the load, which consists in choosing a discharge capacitor with a larger capacity compared with a capacity sufficient to implement the desired technological mode, and forced interrupting the current in the load at a certain point in time, which corresponds to a certain fixed duration discharge (less than the duration of reaching the maximum value of the discharge current when the capacitor capacity is sufficient to implement the required technological mode). The forced limitation of the discharge duration is carried out by a fully controlled semiconductor switch. This method can be used as the basis for the production of spark erosion nano-sized powders of metals and alloys. Ref. 15, fig. 3, table .



2012 ◽  
Vol 195-196 ◽  
pp. 868-873 ◽  
Author(s):  
Yue Ping Peng ◽  
Nan Zou ◽  
Hai Ying Wu

The hippocampal CA1 pyramid neuron has plenty of discharge actions. In the thesis, the dynamic characteristics of the hippocampal neuron model are analyzed and discussed by the neurodynamic theory and methods. Under a certain amplitude currents stimulation, the change of (the maximum conductance of the transient sodium channel) and (the maximum conductance of the delay rectification potassium channel) can cause different dynamic characteristics of the neuron model. The transient Na+current () caused by is indispensable in the discharges formation process of the model. The model can generate the discharge process only when reaches a certain threshold. In the discharge process of the neuron model,s changing affects little and the ISIs approximate to a straight line. The delay rectification K+current () caused by isnt indispensable in the discharges formation process of the model. Buts changing affects much in the discharge process of the neuron model. Withs changing, the neuron model undergoes different dynamic bifurcation process, and has plenty of discharge patterns such as the chaos, period, and so on. This investigation is helpful to know and investigate deeply the dynamic characteristics and the bifurcation mechanism of the hippocampal neuron; and it provides a certain theory assist to investigate the neural diseases such as the Alzheimer disease by neurodynamics.



2019 ◽  
Vol 34 (01n03) ◽  
pp. 2040023
Author(s):  
Mingfang Liu ◽  
Feng Rao ◽  
Bei Li ◽  
Xinya Jiang ◽  
Xianggang Meng

The key to battery management systems (BMS) is an accurate and real-time prediction on State of Charge (SOC) of the power battery. The methods of estimating SOC of power battery were analyzed. The gray neural network model was introduced into the field of SOC estimation. The model is used to establish the relationship of SOC, discharge current and rebound voltage. The model can be used to estimate SOC of battery on line by detecting the values of rebound voltage and discharge current during the discharge process. The model of SOC estimation is proved feasible by comparing the experimental data with calculated data.





2009 ◽  
Vol 5 (5) ◽  
pp. 42-46 ◽  
Author(s):  
A.R. Rizun ◽  
◽  
Yu.V. Holen ◽  
T.D. Denisuk ◽  
V.U. Kononov ◽  
...  


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