Aim. Development of the optimal method of controlling the dynamic parameters of vibratory drives of adaptive vibrating technological machines (AVTM). Method. The work is based on the creation of a direct neural network model of AVTM and the use of hybrid neuro-PID control technology to form a corrective effect based on the proportional-integral-differential law at each control cycle, to minimize feedback error on the amplitude of vibration of the vibrating machine. Results. A control method has been developed that allows to ensure the resonant mode of AVTM operation due to constant correction of the cyclic forcing force of the vibrating drive on the basis of a direct AVTM neuroemulator. Scientific novelty. For the first time, a block diagram, mathematical model and simulation of a hybrid neuro-boundary PID controller based on a direct AVTM neuro-emulator to stabilize the specific operation of the vibration field of vibrating machines at a resonant operating frequency. Practical significance. The proposed method of stabilizing the technologically optimal parameters of the vibration field allows to ensure minimal energy consumption for the vibratory drive with stable technologically optimal parameters of the vibration field of the adaptive vibrating process machine throughout the technological cycle of vibration processing.
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