On the Influence of Time Discretization of Signals on the Stability of Modern Electromechanical Automatic Control Systems (ACS) | Chapter 3 | Fundamental Research and Application of Physical Science Vol. 5

 The new automatic control orders are the systems with rhythm semiconductor converters power, mathematical sensors of mechanical variables – collar and movement speed, and digital control instruments – regulators. All these maneuvers “break” the signals in time, that is to say, they make them individual. Time discretization significantly influences the stability of processes in ACS. Theoretical reasoning of ACS even with one individual element demands a transfer from constant frequency traits and transfer functions of all links of the ACS structure to the discrete traits. That significantly demands the change of manufacturing approaches to the ACS analysis. In current years, due to a meaningful reduction in the inspecting time in mathematical sensors and controllers, the influence of discreteness on the ACS stability has tired, and little attention has existed paid to it in research. However, the analytical “content” of the problem has not changed because the 80s of the 20th century.Moreover, this question is very relevant in extreme-precision high-speed mechanical control systems, exceptionally in those using sliding processes.In this paper a new approach is projected, which resides in interpreting the discretization movement by a link that suppresses input signals accompanying a high difference frequency. This link considerably simplifies the engineering estimates of ACS with discretization and shows new potential for the synthesis of specific systems. Such possibilities involve the efficient dispersion of sampling pauses between the channels of widely used PID controllers and the channels of elaboration and formation of slip courses in systems accompanying a variable structure accompanying sliding processes (SVS accompanying SP) that have been promptly developing in recent age. It is specifically main that the proposed belief technique remains active when the discretization intervals are corresponding with the opportunities of transient processes in the ACS under consideration. Theoretical supplyings have been confirmed and confirmed by posing, the results of which are given in this place chapter.

Author(s) Details:

Vladimir Kodkin,
Power Engineering Faculty, South Ural State University, Chelyabinsk-454080, Russia.

Ekaterina Kuznetsova,
Power Engineering Faculty, South Ural State University, Chelyabinsk-454080, Russia.

Alexander Baldenkov,
Power Engineering Faculty, South Ural State University, Chelyabinsk-454080, Russia.

Alexander Anikin,
Power Engineering Faculty, South Ural State University, Chelyabinsk-454080, Russia.

Please see the link here: https://stm.bookpi.org/FRAPS-V5/article/view/10646