TRANSIENT PROCESS AT LOW-ORDER FREQUENCY DEPENDENT DIGITAL COMPONENTS

被引:0
|
作者
Ukhina, A., V [1 ]
Sitnikov, V. S. [1 ]
机构
[1] Odessa Natl Polytech Univ, Comp Syst Dept, Odessa, Ukraine
关键词
filtering; intelligent sensors; transient process duration analysis; filter parameters rearrangement;
D O I
10.15588/1607-3274-2018-3-5
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Context. When constructing specialized and programmable mobile systems, there arises the problem of system restructuring, under system functioning conditions breach because of changes in the noise-signaling environment or the system operating conditions. Any rearrangement of the system's digital frequency-dependent components leads to the occurrence of transient process, which duration is determined by the components characteristics. The traditional approach to the transient process analysis refers to the zero initial conditions, however, the intelligent sensors and specialized computer systems operation as well as parameters adjustment as well as other system components can be performed under non-zero initial conditions. This implies the need for a large number of computations, not feasible sometimes in real time. Here essential is to assess the duration of process' transition to readjustment process to provide the system operability under new conditions. Objective. To estimate the transient process' maximum duration when rearrangement, to determine the possible rearrangements range and width, taking into account the system stability. Method. This research carrying out improved is the indirect method of transient process duration estimating by the transfer function poles simplifying the irrational function expansion. Results. The effected analysis with relevant modeling and theoretical verification allowed obtaining relations to estimate the transient process maximum duration and to determine possible modifications range and width taking into account the system stability. Upon research results we built the dependencies of transient process duration onto the cutoff respective frequency. Simplified is the representation of relation used to determine the transient process length at the expense of decomposing into order series. Conclusions. The results obtained allow us to estimate the transient process duration upper limit by improving the indirect method of estimating the transient process duration along the transfer function poles, while simplifying the irrational function expansion, that making possible, before the rearrangement beginning, considering the given new relative cutoff frequency and the component order, to predict the component stability afterwards. From a practical point of view, this reduces the calculations amount and due to the predicted result, increases the specialized computer system overall and by-components efficiency for specified performance criteria. The results obtained are applicable to the design of computer systems' microprocessor components.
引用
收藏
页码:40 / 47
页数:8
相关论文
共 50 条
  • [21] A NOTE ON LOW-ORDER MODELING
    ASHOOR, N
    SINGH, V
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 1982, 27 (05) : 1124 - 1126
  • [22] A Low-Order Autofocus Algorithm
    Piper, John E.
    Sternlicht, Daniel D.
    OCEANS 2011, 2011,
  • [23] Low-order modelling of the light-round ignition transient in a premixed annular combustor
    Ciardiello, R.
    Mesquita, L. C. C.
    Mastorakos, E.
    COMBUSTION THEORY AND MODELLING, 2022, 26 (03) : 399 - 421
  • [24] Transient Recovery Voltage in Single-Tuned Low-Order Harmonic Filter Banks
    Kim S.
    Park Y.-H.
    Transactions of the Korean Institute of Electrical Engineers, 2023, 72 (01): : 9 - 15
  • [25] Calibrated low-order transient thermal and flow models for robust test facility design
    Messenger, Andrew
    Povey, Thomas
    JOURNAL OF THE GLOBAL POWER AND PROPULSION SOCIETY, 2020, 4 : 94 - 113
  • [26] Bridging Time and Frequency for Low-Order, Model-Based PID Control
    Ortega, M. G.
    Vargas, M.
    Satue, M. G.
    Arahal, M. R.
    Berenguel, M.
    IFAC PAPERSONLINE, 2024, 58 (07): : 85 - 90
  • [27] Efficient frequency response computation for low-order modelling of spatially distributed systems
    Dellar, O. J.
    Jones, B. Li
    INTERNATIONAL JOURNAL OF CONTROL, 2020, 93 (03) : 366 - 376
  • [28] Low-order Simulation Model for Frequency Nadir Estimation with High Power Deficit
    Liu L.
    Li W.
    Chang Y.
    Hu X.
    Wang Y.
    Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2019, 43 (17): : 78 - 83
  • [29] Low-Order Optimal Regulation of Parabolic PDEs with Time-Dependent Domain
    Izadi, Mojtaba
    Dubljevic, Stevan
    AICHE JOURNAL, 2015, 61 (02) : 494 - 502