AI for Industrial Process Control

Tuning a Process Oven with Reinforcement Learning

Figure 1. Reflow Oven

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).

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