ADAPTIVE CONTROL OF PULSE CURRENT GENERATOR CHARGER FOR DISCHARGE-PULSE INSTALLATIONS

The aim of the work is to study the charging device of the pulse current generator for discharge-pulse installations as a control object and to build a model of an adaptive control system that provides optimal operating modes with variable parameters of the control object during the charging process.Method.The charging device of the pulse current generator for discharge-pulse installations as a control object refers to multidimensional discrete-continuous normal stochastic systems with output coordinates in the form of random nonstationary functions.The synthesis of control systems for objects of this class is a complex multi-criteria task, therefore, the decomposition method, stochastic modeling and neurotechnology were used in the study.Results.The effective information coordinates and their adjustment ranges were determined.The algorithms for charging capacitive storage devices of the pulse current generator were analyzed.An adaptive information signal filter was developed, the optimality criterion of which is the accuracy of the information coordinate estimation.Also, the filter structure was determined.The coefficients of a two-level recursive filter are calculated for different values of the expected mean value of the output coordinates that determine the position of the control object in the state space.A model of an adaptive control system using neurotechnologies is constructed.Scientific novelty.It is proven that the optimal value of the filter coefficients depends on the rate of change of the average value and the dispersion of the information signal.A filter adaptation mechanism is developed that takes into account the shift in the evaluation of the information signal.It is established that the state space of the control object is significantly multidimensional, which requires the use of parallel information processing algorithms.The use of two control structures based on neural systems is proposed, which are more effective for this type of tasks.Practical importance.The use of the proposed adaptive control model in the synthesis of control systems for the charging device of the pulse current generator of discharge-pulse installations will ensure the optimal operating mode, increase the stability and energy efficiency of promising discharge-pulse technologies.

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Publication Details

Journal
Collection of Scientific Publications NUS
Published
2025-01-01
DOI
https://doi.org/10.15589/znp2025.1(499).13
Primary Topic
Plasma Diagnostics and Applications
Type
article
Field-Weighted Citation Impact
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article

ADAPTIVE CONTROL OF PULSE CURRENT GENERATOR CHARGER FOR DISCHARGE-PULSE INSTALLATIONS

С. С. Козырев
Collection of Scientific Publications NUS
Plasma Diagnostics and Applications
article

ADAPTIVE CONTROL OF PULSE CURRENT GENERATOR CHARGER FOR DISCHARGE-PULSE INSTALLATIONS

С. С. Козырев
article en

Abstract

The aim of the work is to study the charging device of the pulse current generator for discharge-pulse installations as a control object and to build a model of an adaptive control system that provides optimal operating modes with variable parameters of the control object during the charging process.Method.The charging device of the pulse current generator for discharge-pulse installations as a control object refers to multidimensional discrete-continuous normal stochastic systems with output coordinates in the form of random nonstationary functions.The synthesis of control systems for objects of this class is a complex multi-criteria task, therefore, the decomposition method, stochastic modeling and neurotechnology were used in the study.Results.The effective information coordinates and their adjustment ranges were determined.The algorithms for charging capacitive storage devices of the pulse current generator were analyzed.An adaptive information signal filter was developed, the optimality criterion of which is the accuracy of the information coordinate estimation.Also, the filter structure was determined.The coefficients of a two-level recursive filter are calculated for different values of the expected mean value of the output coordinates that determine the position of the control object in the state space.A model of an adaptive control system using neurotechnologies is constructed.Scientific novelty.It is proven that the optimal value of the filter coefficients depends on the rate of change of the average value and the dispersion of the information signal.A filter adaptation mechanism is developed that takes into account the shift in the evaluation of the information signal.It is established that the state space of the control object is significantly multidimensional, which requires the use of parallel information processing algorithms.The use of two control structures based on neural systems is proposed, which are more effective for this type of tasks.Practical importance.The use of the proposed adaptive control model in the synthesis of control systems for the charging device of the pulse current generator of discharge-pulse installations will ensure the optimal operating mode, increase the stability and energy efficiency of promising discharge-pulse technologies.

Collection of Scientific Publications NUS(1(499))
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Plasma Diagnostics and Applications
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