The control system is a critically important component in every aspect of modern life, especially in oil refining processes. It ensures continuous monitoring and optimization of technological operations such as purification, distillation, and oil heating. Improved performance of such systems leads to increased overall efficiency, which in the long term results in significant savings in resources and energy, as well as enhanced quality of petroleum products. Numerous control systems have been specifically developed for this purpose over the past few decades in response to the ongoing need for improved performance. With this in mind, this article aims to classify and analyze controllers of various types. The transition from conventional to more intelligent adaptive controllers is highlighted along with the relevant principles. Conventional regulators are those designed for linear systems without considering potential parametric changes. Adaptive controllers, on the other hand, have the ability to automatically learn and adapt to the plant’s conditions, ensuring more precise system behavior.
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Kubakh et al. (2024) studied this question.
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