The article is devoted to the development of an approach to improving the electroplating uniformity on the cathode surface, rotating around its axis, using a figured anode. A mathematical model of a stationary process with distributed coordinates, based on the equations of theoretical electrochemistry, has been developed for this approach. The problem for optimizing the anode shape according to the criterion for minimizing the non-uniformity of the deposited coating on the rotating cathode is formulated. The results of solving this problem are demonstrated on the example of the Zinc plating. Possible improvements to improve the accuracy of the calculation results for the developed mathematical model are given in the conclusion of the article.

The article discusses the problem of optimizing the anode shape to reduce the non-uniformity of the electroplating coating for a long thin- walled detail. An increase in the non-uniformity of the coating due to the ohmic potential drop in the electrodes body is characteristic of such details. The problem of optimizing the anode shape is formulated to minimize the non-uniformity of the electroplating coating. The mathematical model of the electroplating process has been developed, which takes into account the ohmic potential drop in the electrodes body. The problem of optimizing the anode shape is solved by the example of zinc electroplating process in an alkaline electrolyte, taking into account the ohmic potential drop in the electrodes body and without it.

The article discusses the disadvantages of using fuzzy logic to correct the value of the PID controller coefficients in control systems. The disadvantages are related to the actuation setpoint, which knowingly doesn‘t provide optimal control during its implementation at the control object. It is proposed to use a fuzzy tuning of values for the actuation setpoint in the control system circuit based on the deviation between the measured values of the input action at the control object and the values accepted in the calculation by the mathematical model. Fuzzy tuning of values for the actuation setpoint provides that the control objects achieve the desired indicators without re-solving the optimization problem. The effectiveness of the proposed approach is demonstrated by the example of developing a control system for the electroplating process.

An important aspect influencing the provision of a given seeding rate is the interaction of seeds with the mechanism of the double ejector under various operating modes of the sowing unit. The study of the interaction of seeds with structural elements of the sowing machine, taking into account their physical and mechanical properties, will allow us to evaluate the efficiency of seed placement at various speeds of the sowing unit and develop automatic control systems for the mechanism of the twin ejector. The purpose of the study is to determine the statistical characteristics of the distribution of seeds depending on the position of the twin ejector and the rotational speed of the sowing disc and to determine the optimal values of these parameters. The design and operating parameters of the sowing machine were determined using the methodology of planning a multifactorial experiment. A second-order planning matrix based on two-factor Box-Wilson plans was used. Lisbon soybeans were used for research. The speed of the meter disk was varied from 15 rpm (low level) to 55 rpm (high level). The position of the seed ejector was set so that the suction hole was blocked halfway (lower level) to a fully open hole (upper level). The coefficient of variation of the time intervals between the ejection of seeds from the sowing apparatus and the crushing of seeds were chosen as optimization criteria. The regression equations that adequately describe the seeding process under study were obtained from the results of the experiments. Installed. that the control factors should be within the following limits: the rotational speed of the seeding disc should be from 15 to 35 rpm, and the position of the excess seed remover should provide overlapping of the holes by 10 - 35%, while the coefficient of variation will be less than 33%, and the crushing of seeds less than 1 %. The data obtained can be used to develop a control algorithm for the automatic regulator of the position of the twin ejector, depending on the speed of the sowing unit.

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