Metodology of identification parameters of models control objects of automatic trailing sys
Journal: The Journal of Zhytomyr State Technological University. Series: Engineering (Vol.1, No. 79)Publication Date: 2017-05-29
Authors : I.V. Zimchuk; V.I. Ishchenko; I.A. Okhrimchuk;
Page : 58-62
Keywords : identification; control object; transient response; automatic trailing system.;
Abstract
The determining factor for the successful solution of the problem of synthesis of optimal control systems of different processes are adequacy of mathematical model of control object. In practice, the options can differ from the objects taken priori, causing a need to clarification of them. In this context, the article presents the results of the development and application of methods parameters identification of mathematical models of control object of automatic trailing system. The stated problem in the article is solved provided that control object is fully controlled and observed, and a differential equation of control object is known a priori. The coefficients of this equation to be determined. Identifying quality criterion is to minimize the integral value of squared error of identification. The method is based on a description of the dynamics of the object in space state. Equation of identification synthesized using the vector-matrix representation of model. This equation describes the interconnection of coefficients of matrix state and control with inputs and outputs of object. The initial data for calculation are the results of experimental investigation of the reaction of phase coordinates of control object at a typical input signal. The process of calculating the model parameters is reduced to solving the system of equations of the first order each. Application the above approach is illustrated in the example identification of coefficients transfer function of control object first order. Results of digital simulation are presented, they are confirming the justice of set out mathematical calculations. The approach enables to do the identification of models of one-dimensional and multidimensional objects and does not require a large amount of calculation for its implementation. The order of identified model is limited capabilities of measurement phase coordinates of corresponding control object. The practical significance of the work is to create a theoretical and methodological basis of identification of parameters of mathematical models of control objects, and then use the results obtained at the processes of synthesis and operation of control systems of various purpose.
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