Reinforcement learning-based web tension adjustment in food packaging system

Methods and apparatus, including computer program products, are described for controlling web tension in a food packaging machine (100) comprising a plurality of subsystems. One or more local variable values (116) indicative of measurements of one or more physical parameters of the web tensioning subsystem (200) by the food packaging machine (100) are received. One or more remote variable values (204) indicative of measurements of one or more physical parameters of one or more remote subsystems by the food packaging machine (100) are received. One or more control parameter values are determined for the web tensioning subsystem (200) by processing the remote and local variable values (204, 116) using a reinforcement learning model (206) and a local control model (210). One or more control parameters of the coil tensioning subsystem (200) are adjusted according to the determined control parameter values. 描述了用于控制食品包装机(100)中的卷材张力的方法和装置，包括计算机程序产品，该食品包装机包括多个子系统。接收一个或多个本地变量值(116)，其指示食品包装机(100)对卷材张紧子系统(200)的一个或多个物理参数