Parametric Identification of Control Objects to Provide the Improved Accuracy on Start or End Point of Timing Response

2017 ◽  
Vol 865 ◽  
pp. 525-531
Author(s):  
V. Goncharov ◽  
D. Berchuk ◽  
V. Than ◽  
I. Alexandrov

This work considers the parametric identification problem of control objects and signals. The problem feature is the necessity of searching for an approximate solution that provides the improved accuracy of the transition process in the high (or low) values of time. This work suggests a variant that satisfies the requirements of accuracy and robustness to solve the problem. Based on using numerical methods to solve the problem, the variant has its own singularities. Firstly, its instrumental variable allows redistributing the maximum error of the approximate solution by the interval of transient process. Secondly, the variant is applied to the dynamic systems, transfer functions of which have fractional-rational, irrational and transcendental expressions. This work also leads the calculations to illustrate the suggested method that obtains an improved accuracy of the approximation in the initial and final fragments of the transient process.

2013 ◽  
Vol 12 (02) ◽  
pp. 179-199 ◽  
Author(s):  
MINDIA SALUKVADZE ◽  
BESARION SHANSHIASHVILI

Structural and parametric identification of nonlinear continuous dynamic systems with a closed cycle on a set of continuous block-oriented models with feedback is considered. The method of structural identification in the steady state based on the observation of the system's input and output variables at the input periodic influences is proposed. The solution of the parameter identification problems, which can be immediately connected with the structural identification problem, is carried out in the steady and transient states by the method of least squares. The structural and parametric identification algorithms are investigated by means of both theoretical analysis and computer modeling.


The questions of the adaptive algorithms synthesis for identifying dynamic systems based on the principle of regularity are considered. Estimates of the error in setting the initial data for various model structures, which allow, without making a direct decision, to estimate the error of the desired solution from above and choose the optimal value of the regularization parameter, are obtained. Based on methods for solving incorrectly posed problems, regular recurrent iterative computational schemes for solving the parametric identification problem are obtained. Keywords control object; control system; parametric identification; dynamic filtering; regularization; regularization parameter


2013 ◽  
Vol 457-458 ◽  
pp. 1531-1537
Author(s):  
Bi Ying Wu ◽  
Ning Tang ◽  
Shui Guang Tong

In the operation of the hydropower units, it often come across condition changes such as start-up, normal stop, increase or decrease the load and load rejection. This will cause the hydraulic transient process of the water power generation system, which is of great significance to the safe and stable operation of hydropower station. This paper analyzes the method to calculate the transient process of hydropower unit and expounds the principle of all kinds of calculation methods and steps to lay a foundation for further optimization study.


2022 ◽  
Vol 14 (4) ◽  
pp. 5-12
Author(s):  
Ol'ga Ermilina ◽  
Elena Aksenova ◽  
Anatoliy Semenov

The paper provides formalization and construction of a model of the process of electrical discharge machining. When describing the process, a T-shaped equivalent circuit containing an RLC circuit was used. Determine the transfer function of the proposed substitution scheme. Also, a task is formulated and an algorithm for neural network parametric identification of a T-shaped equivalent circuit is proposed. The problem is posed and an algorithm is developed for neural network parametric identification of the equivalent circuit with a computational experiment, the formation of training samples on its basis, and the subsequent training of dynamic and static neural networks used in the identification problem. The process was simulated in Simulink, Matlab package. Acceptable coincidence of the calculated data with the experimental ones showed that the proposed model of electrical discharge machining reflects real electromagnetic processes occurring in the interelectrode gap.


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