Abstract

We have synthesized and investigated fractional-order regulators, which provide for a series of technological processes the best indicators for the quality of transient process, specifically DC motors with series excitation. Given the dependence of magnetic flux on the armature current and saturation of the magnetic system, a motor armature circuit turns into a system with significant nonlinear properties under static and dynamic modes. However, it can be described with high accuracy by the transfer function of fractional order. Owing to the appropriate fractional integral-differentiating regulators, it becomes possible to obtain the quality of transient processes that is better than when using classic methods. We have considered standard methods to synthesize the coefficients of regulators and established that such settings result in deterioration of transients due to the saturation of regulators, caused by power supply voltage limitation. Therefore, it has been proposed, for a closed circuit with different structures of fractional regulators, to use a genetic algorithm for determining the optimal values of the coefficients of regulators based on the criterion for the shortest time of first harmonization and minimum overshoot. Experimental study into different structures of regulators has been performed conducted for settings on the module optimum and a fractional order of astatism from 0.35 to 1.5. Based on the results obtained, it can be argued that the best indicators are demonstrated by regulators at astatism 1+μ co , 1.5. The overshoot is then actually less than 2 %. It has been also shown that astatism 1+μ co ensures high-quality of transient processes in the unsaturated zone of magnetic system as well. The research results could be used primarily in the systems of closed control in DC motors with series excitation, as well as with objects in which power laws are observed

Highlights

  • Development of the theory of fractals has sparked increased interest in the phenomena of self-similarity, characteristic of power laws, as well as the mathematical analysis of non-integer orders [1]

  • Disadvantages include the complexity of implementing closed control systems, since DC motor with series excitation (DCMSE) have nonlinear properties, predetermined by a magnetization curve and dependence of flow on armature current

  • There are still unresolved issues related to the optimization of a current circuit and the settings for a fractional order of astatism greater than unity, which ensure a greater dynamic accuracy of the system

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Summary

Introduction

Development of the theory of fractals has sparked increased interest in the phenomena of self-similarity, characteristic of power laws, as well as the mathematical analysis of non-integer orders [1]. That relates to that controllers employ fractional calculus, but it gives a certain freedom in the choice of a decimal degree for differential and integral components Another advantage of such regulators is the possibility of increasing the reserve of stability compared to the integers. Disadvantages include the complexity of implementing closed control systems, since DCMSE have nonlinear properties, predetermined by a magnetization curve and dependence of flow on armature current This same property makes them an excellent study object using the apparatus of fractional calculus, thereby making it possible to compensate for the non-linear dependence and synthesize controllers that optimize the behavior of a closed system. Given the wide scope of application of such machines in different fields of technology, it is a relevant task to improve the accuracy of control by employing new methods of analysis and synthesis

Literature review and problem statement
The aim and objectives of the study
Studying the transient current processes in a motor with series excitation
Synthesis of closed current circuit with optimal transient characteristics
Conclusions b
The Fractional Calculus
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