Method of Stabilizing Technologically Optimal Parameters of Vibration Field of Adaptive Vibrating Technological Machines by Means of Neural Network Pid Regulator
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.