The article discusses the application of the Model Predictive Control (MPC) method to solid material drying processes. Bulk materials. A control system was synthesized using the MPC algorithm, and the generation of optimal control signals by predicting the system's future state was substantiated. Methods for estimating parameters that cannot be measured directly using a state observer were developed. It was shown that the proposed approach can improve the stability of the drying process, reduce energy consumption, and improve product quality.
| Mualliflar | Bekkulov, Jahongir, Turayev , Khurshid |
|---|---|
| Jurnal | Techscience.uz - техника фанлари долзарб масалалри |
| Nashr sanasi | 2026-05-14 |
| Jild | 4 |
| Son | 5 |
| Betlar | 5-15 |
| Til | Rus |
| DOI | 10.47390/ts-v4i5y2026n01 |
DOI: 10.47390/ts-v4i5y2026n01 · Maqolaning asl sahifasi
predictive control, bulk materials drying, energy consumption, advanced control algorithm, state vector, optimization, recurrence equation, reference trajectory, предиктивное управление, сушка сыпучих материалов, энергозатраты, алгоритм усовершенствованного управления, вектор состояния, оптимизация, рекуррентное уравнение, референсная траектория.
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