Research on Automatic Speed Control of Wrapping Machine Under the Coordi-nation of Revolution and Autorotation
Nonlinear effects may occur during the revolution and rotation of the wrapping machine.In order to achieve effective speed control,a method for automatic speed control of the wrapping machine under the cooperation of revolution and rotation is proposed.Construct a neural network control model,using revolution speed and rotation speed as inputs,and output control laws through the output layer.Using backpropagation algorithm,the neural network model is improved by adjusting network weights and introducing momentum weights to enhance the collaborative con-trol effect of revolution and rotation.Using the doubly fed directional vector method to implement automatic speed control of the wrapping machine,the final automatic speed control is completed on the basis of meeting the corre-sponding voltage vector and flux vector conditions of the stator and rotor of the wrapping machine.Under different experimental conditions,the proposed method performs well in actual tracking of input signals and is not easily af-fected by influencing factors.