Abstract

This paper has demonstrated the need to use models not only at the stage of theoretical research and design operations but also when studying existing objects. The techniques to build them on the basis of identification methods have been analyzed. The identification methods have been shown when determining the parameters of processes and objects. The difficulty of defining the models' structures has been emphasized.A method has been proposed to determine the structure of an arbitrary object's model as the approximating set of linear differential models. The data on the object's response to external impact have been used as source data. Demonstrating the method's feasibility employed a set of standard links and a standard external influence in the form of a stepped function as a model. This approach helps assess the adequacy of the obtained approximation results based on the precise solutions available. In a general case, there are no specific requirements for the form of an external influence and an object's reaction.The data that reflect the object's response should allow their approximation using a polynomial. That makes it possible to represent them following a Laplace transform in the form of a truncated power series in the image domain. The transfer function is written in a general form as a rational fraction. It underlies a Padé approximant of the truncated power series.The comparison of the available accurate calculation results and those derived on the basis of the built model has shown good agreement. In the cases under consideration, the computation error did not exceed the 5 % value permissible for engineering calculations. This is also the case when using the approximation of original data over a limited period.The response of the resulting model to the external influence that simulates a real pulse was investigated. The comparison with precise results showed a discrepancy not exceeding the value permissible for engineering calculations (<5 %)

Highlights

  • At the stage of theoretical research or design work, models of different forms can be built when constructing automatic control systems

  • The study results demonstrated that the proposed method could be used to obtain an approximation model of the control object

  • Using the inverse Laplace transform, we find a solution the system at an industrial site, the set-up in the space of the originals at a given impact: can be guided only by intuition and personal experience of adjusting controllers

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Summary

Introduction

At the stage of theoretical research or design work, models of different forms can be built when constructing automatic control systems. This process is termed a model identification (from Latin Identifico, to identify). The model does not reflect the fullness of the properties of the object described. The process of “choosing” the structure of the control object model is less formalized. The term “choosing” is not used by accident This is how, in many cases, the structure of the model for further research is determined. It is possible to ensure that different researchers obtain equivalent results from model approximation through the formalization of this procedure. It is a relevant task to construct new formalized methods to obtain the approximating models of the examined control objects and the processes occurring in them

Literature review and problem statement
The aim and objectives of the study
A technique to determine the approximation model of control objects
Based on approximation in the form of a power series of the 1 fex
Findings
An important part of the method for representing a control
Full Text
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