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Model predictive control approach for the system of multi input single output
Author(s) -
Moh. Khairudin,
S. P. Herlambang,
Ida Siswanto,
D. Tirantini,
Junaidi Syarif
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1700/1/012101
Subject(s) - model predictive control , control theory (sociology) , kalman filter , computer science , matlab , estimator , controller (irrigation) , control system , control (management) , control engineering , engineering , mathematics , statistics , electrical engineering , artificial intelligence , agronomy , biology , operating system
This study aims to determine the control optimization system with Model Predictive Control (MPC) for the plant of Multi Input Single Output (MISO). The MPC optimal control system designed for the closed-loop Mismatch method, and the effect of changes in the Kalman amplifier state estimator. The study conducted with simulation work using Simulink in MATLAB. The results of these experiments show that the output by changing the Kalman amplifier produces a more structured graph compared to MPC Controller.

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