The adjustment of the forest machine hydraulic unit power control system can be made through the PID con-troller. If a hydraulic unit malfunction is detected, the block makes changes to the control system. Therefore, the aim of the study was to increase the reliability of forest machine hydraulic manipulators by introducing a neural network PID controller block into the control of the forwarder hydraulic manipulator. The research methods include methods for modeling the automatic control system in feedback loops for automatically maintaining process parameters in for-est machine hydraulic drives. The result of the study will be a program for controlling the operation of the forwarder manipulator hydraulic devices through control signals generated by the PID controller. When selecting the optimal PID controller coefficients to optimize the operation of the automatic pressure control system, the signals will monitor, regu-late and change the deviations in the system characteristics, which increases the reliability of the hydraulic manipula-tor. There are various approaches to modeling and developing intelligent hydraulic systems, which can lead to difficul-ties in the compatibility and interaction of various components and devices. Very often, scientists rely on MATLAB-type programmers in modeling processes. But the use of the controller itself and its software in PID control of the pa-rameters of the hydraulic drive of a forest machine remains practically unexplored, so this topic is relevant. In this study, the possibility of applicability of PID control of the state of the system parameters (pressure through the opening of the throttle section) through the PLC controller program OWEN160 CODESYS V2.3 allows to reduce system oscilla-tions and increase the speed of error correction in the hydraulic system, bringing the current pressure values to the set-point, which increases the reliability of the forest machine.
hydraulic drive, control program CODESYS V2.3, neural network block, reliability, PID controller coefficients
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