Control Method of Cam Jacking Transfer Machine based on BP Neural Network

The cam jacking transfer machine achieves stable transmission and vertical diversion of items simultaneously through the rotation of the cam. In this operation process, rapidly determining the object's position and controlling the cam's rotation are critical steps. In this paper, a control method based on a BP neural network is designed for the cam jacking transfer machine, and simulations are conducted. The simulation results indicate that the BP neural network model can accurately determine the positional state of the items and effectively capture the complex nonlinear relationships between the input features and the items states during the training process, enabling efficient and accurate transmission and vertical diversion of the items.