Tuning a Process Oven with Reinforcement Learning
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Determining optimal control settings for an industrial process can be tough. For instance, controls can interact, where adjusting one setting requires readjustment of other settings. Also, the relationship between a control and its effect can be very complex. Such complications can be challenging for optimizing a process. This article explores a reinforcement learning solution for controlling an industrial conveyor oven. An example of this type of equipment is a reflow oven used for soldering electronic components to a circuit board (Figure 1).