CONTROL OF THE WATER COOLING PROCESS IN THE BATH BASED ON A MULTI-CRITERIONAL OPTIMIZATION FUNCTION

In this article, a multi-criteria optimization function was developed for effective control of the cooling process of polymer granules in a water bath. In the process, the quality of the granules, the deviation of the output temperature from the target value, energy and water consumption were taken into account simultaneously. An algorithm for real-time monitoring and adaptive control is proposed. Optimal control parameters were determined using a multi-criteria optimization function, which ensured a reduction in energy consumption and quality stabilization.