2025
Automation and Remote Control, Q4
Статьи в журналах
Vol.86, Iss.5, P.484-497
D.V. Shtakin, O.Yu. Snegirev, A.Yu. Torgashov / Determination of Optimal Parameters of a Model Predictive Controller with Priorities of Control Objectives under Conditions of Plant Uncertainty // Automation and Remote Control - Vol. 86. - Iss. 5. - 2025. - pp. 484-497
This work addresses the problem of determining the optimal parameters of a model predictive controller under conditions of plant parametric uncertainty, unmeasured disturbances, and the need to account for the prioritization of control objectives. An algorithm is proposed for determining the optimal parameters of a model predictive controller, which can be applied to both newly developed and existing control systems with predictive models, without requiring structural modifications. The algorithm incorporates a criterion that accounts for plant parametric uncertainty, the magnitude of output variable deviations beyond specified limits, and the duration of constraint violations. The effectiveness of the proposed algorithm is demonstrated through its application to an existing controller for a complex distillation column within a hydrocracking process unit. Using the algorithm, it was possible to achieve the minimum permissible initial boiling point of the kerosene fraction withdrawn from the bottom of the stripping column equipped with a thermosiphon, even under conditions of reduced coolant flow.