SUBSTANTIATION OF NEUROCONTROLER PARAMETERS FOR THE CONTROL SYSTEM OF THE VIBRATOR DRIVE OF ADAPTIVE VIBRATION TECHNOLOGICAL MACHINES

The article proposes and analyzes the structure of neurocontroller for controlling vibratory drive adaptive vibrating technological machines (AVTM), which allows to implement a two-circuit neurocontrol system energy parameters AVTM that its each circuit takes into account inertial dissipative characteristics. By monitoring phase shift between frequency forced oscillations working body cyclic forcing force using predictive model technology correct drive, provides mini resonant operation. second on tracking stabilization specific work vibration field during cycle adjust amplitude hybrid neuro-PID control with self-tuning based neuromodel system. proposed design can improve quality characteristics dynamic both electromagnetic unbalanced drive. use neural network technologies in solution introduction algorithms change process processing implemented by AVTM, or load mass through simplex method quasi-Newtonian algorithm will optimally choose strategy correcting vibrator ensure maintain constant mode at stabilize operation PID-controller self-adjustment basis direct neuroemulator.