Control of a Plant with Dominant Time Delay Based on a Filtered Smith Predictor

The control of a temperature plant with a dominant time delay is complex due to its exposure to disturbances, which can be internal or external. Since these negative interferences exist within the plant, a time delay occurs, directly related to temperature changes, as the plant takes more time to reach stability. To solve this problem, a Smith Predictor is developed, which is an anticipatory algorithm aimed at improving the plant’s dynamics. Temperature data is collected through experimentation, varying over time. This data is collected both before and after the implementation of the Smith Predictor to analyze the variations in time and temperature during the simulation. Finally, the data obtained with the Smith Predictor is presented, which will be used to control the plant through sensors and actuators. The process will be implemented on an ARM board, facilitating the processing of data obtained during the simulation. The expected result when using the algorithm is satisfactory, as it achieves the plant’s maximum potential with a shorter response time.