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• ALGORITHMS OF ELECTRIC NETWORK CONTROL OF A HYBRID POWER SUPPLY SYSTEM OF AUV

  N.K. Kiselev, L.A. Martynova

  2022-03-02

  Abstract ▼

  The aim of the research was to control the electrical network of a hybrid power supply system
  for an autonomous underwater vehicle designed to travel over ultra-long distances over tens
  of thousands of kilometers. To overcome ultra-long distances, the urgent task is to minimize the
  specific consumption of electricity, provided that all consumers are provided with electricity. The
  relevance of the work is determined by the novelty of using a hybrid power supply system in autonomous
  unmanned underwater vehicles, consisting of heterogeneous sources of electricity operating
  on different physical principles. Due to the lack of research to date, related to the control of
  the hybrid power supply system, coordinated with the modes of motion of the vehicle in a wide range of speeds, the problem arose of developing control algorithms for the hybrid power supply
  system. To solve the problem, the reasons for the change in current consumption during the
  movement of the device were analyzed, the necessary conditions for connecting consumers to the
  bus ducts were formed, including providing all consumers with electricity in full, excluding the
  excess of the rated currents of each bus duct with consumption currents, minimizing electricity
  losses when passing through the conductor and through the equipment. In this regard, the possible
  configurations of the construction of the electrical network using conductors and equipment were
  analyzed, and losses on the current conductors and on the equipment used were estimated. Based
  on the results of the research, a graph of consumers' connections to the conductors was formed,
  and to determine the way of connecting each consumer to the energy source through the power
  grid, a connection path was determined that minimizes losses. The problem was formalized as
  finding the shortest path in a graph, and Dijkstra's algorithm was used as a basis to solve it. Based
  on the research results, algorithms were formed for the formation of ways to connect consumers to
  electricity sources through the power grid and an algorithm for controlling the switching of keys
  in the power grid when the consumption currents change. The developed algorithms were implemented
  in software, and a numerical experiment was carried out using a simulation model. The
  results of the experiment showed the correctness of the developed algorithms, and can be further
  used for implementation in the devices under development for moving over ultra-long distances.

• ORGANIZATION OF THE ELECTRIC NETWORK OF THE HYBRID POWER SUPPLY SYSTEM OF AUTONOMOUS UNDERWATER VEHICLE

  N.K. Kiselev, L.A. Martynova, I.V. Pashkevich

  2021-04-04

  Abstract ▼

  The aim of the study is to organize the power grid of a hybrid power supply system for an autonomous
  underwater vehicle capable of moving in a wide range of speeds. The need to move the
  autonomous underwater vehicle in a wide range of speeds requires the use of heterogeneous sources
  of electricity operating on different physical principles - storage batteries and electrochemical generators
  using reagents from the reagent storage. In addition, in order to provide consumers with
  electricity with the required parameters (currents, voltages, volumes of electricity), it is necessary to
  use additional switchboards, voltage converters, protective switching equipment, keys. The use of
  additional equipment in the power grid allows you to flexibly configure the power grid in order to
  generate energy in an amount consistent with the amount of electricity consumed. On the other hand,
  additional equipment causes losses of electricity in the network, and, accordingly, additional electricity.
  In this regard, the task of determining the option for organizing the power grid, at which the loss
  of electricity would be minimal, is relevant. To solve this problem, the features of the use of additional
  equipment in the power grid were analyzed, the consumption of electricity by an autonomous underwater
  vehicle at different stages of a route assignment was analyzed, the minimum and maximum
  volumes of consumption were determined when an autonomous underwater vehicle moved in different
  speed modes. This made it possible to determine the degree of involvement of heterogeneous
  sources of electricity in the process of performing a route assignment. Based on the results of the
  analysis, alternative options for the power grid were formed. To select the option of the organization
  that ensures the minimum losses of electricity, a target graph of the effect of losses on individual
  devices of the power grid was formed - on the losses of the entire power grid, and using the method of
  distributing tags, quantitative estimates of each of the alternative options were obtained. Teaching
  quantitative assessments made it possible to determine the option of organizing an electrical network
  that minimizes losses. This allows, in turn, to formulate the requirements for the functioning of the
  elements of the hybrid power supply system, to develop control algorithms. In general, the result
  obtained makes it possible to minimize the consumption of energy resources during the movement of
  an autonomous underwater vehicle throughout the entire duration of the route assignment.

• NEUROCOMPUTER CONTROL OF CABLE NETWORKS BANDWIDTH THROUGH ACCOUNTING AND CONTROL OF THEIR PARAMETERS

  N.К. Poluyanovich, N. V. Azarov, М.N. Dubyago

  84-103

  2025-07-31

  Abstract ▼

  The article discusses a neurocomputer system for predicting the resource of a power cable
  line (РCL) using neural network technologies. A hardware modular implementation of a
  neurocomputer (NC) implemented on the basis of FPGA was selected. To solve the problem of
  predicting thermal processes of РCL, it was decided to use a NeuroMatrix NM6404 digital
  neurochip with a variable structure due to their high performance compared to power consumption,
  a high degree of versatility. To predict the temperature conditions of the РCL, an artificial
  neural network (INS) was developed to determine the current temperature regime for the currentcarrying
  core of the РCL. The architecture of the INS for the implementation of the NC of the SCL
  temperature prediction system has been selected, which allows for long-term prediction of РCL
  temperatures in real time. The choice of the activation function of the INS neurons for the implementation
  of the NC of the SCL temperature prediction system, which allows for a long-term forecast
  of SCL temperatures without increasing the error with an increase in the forecast range. The
  proposed neural network algorithm that predicts the characteristics of the electrical insulation of
  the РCL, based on the sliding window method for predicting time series, was tested on a control
  sample of experimental data not included in the sample for training the INS. Experimental studies
  of the proposed adaptive forecasting method have been carried out, namely, an adaptive algorithm
  has been developed and the prediction of thermal processes in the isolation of the SCL from the
  load current has been performed. Analysis of the results showed that the longer the aging time, the
  greater the temperature difference between the original and aged sample. When analyzing the
  data obtained, it was determined that the maximum deviation of the data obtained from the INS
  during the experiment from the data in the training sample was less than 3%, which is quite acceptable
  for this study result. It is shown that the developed methods and algorithms are elements
  of an integrated power grid management system, and the developed adaptive NC model makes it
  possible to assess the current state of insulation and predict the remaining life of the РCL