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PID Controller for Non-stationary Plants of Relative Second Order

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Recent Research in Control Engineering and Decision Making (ICIT 2020)

Abstract

PID controllers are widely used in industry. These controllers provide good control quality for most industrial applications when set up correctly. One of the possible approaches to the typical controllers’ calculation for non-stationary objects of a relative second order is presented in this paper. Here we consider the modified structure of the controller where its proportional and differential components are put in feedback. As a result, two control loops are formed. Such an implementation is relevant for stabilization systems since it allows us to reduce control throws when the set point changes. This is due to the fact that the inner loop is less sensitive to a change in the set point value than the outer. The large coefficients method is used as the theoretical basis for studying the system properties. It is shown that in this case the processes of the system correspond to the second-order transfer function with constant coefficients. The characteristic equation of this transfer function is recommended to be formed using a modal approach according to the requirements for the quality of the processes. At the same time, this equation is the basis for determining the parameters of the PID controller. In this way, we form the desired distribution of the roots and ensure the system robustness with respect to the variable parameters of the plant. The results of numerical simulation of an example in MatLab are presented. They illustrate the PID control properties if the controller is calculated according to the proposed method as well as confirm the system robustness when the plant coefficients vary widely.

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Correspondence to Galina Frantsuzova .

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Frantsuzova, G., Vostrikov, A. (2021). PID Controller for Non-stationary Plants of Relative Second Order. In: Dolinina, O., et al. Recent Research in Control Engineering and Decision Making. ICIT 2020. Studies in Systems, Decision and Control, vol 337. Springer, Cham. https://doi.org/10.1007/978-3-030-65283-8_4

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