DESIGN NONLINEAR ADAPTIF-PREDICTIVE CONTROL SYSTEM WITH ADAPTIVE NEURO FUZZY INFERENCE SYSTEM (ANFIS) MODELING AT UREA PLANT REACTOR UNIT
The Reactor Unit in the Urea fertilizer plant is one of the units that functions to react to the components forming the Urea fertilizer, so that this unit is one of the most important systems. During the operation of this unit, the fluid height of the liquid inside the reactor will be kept stable...
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| Format: | Theses |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/40043 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | The Reactor Unit in the Urea fertilizer plant is one of the units that functions to react to the components forming the Urea fertilizer, so that this unit is one of the most important systems. During the operation of this unit, the fluid height of the liquid inside the reactor will be kept stable so that the reaction in the reactor can react perfectly according to the product specifications. Therefore we need a model that can describe the behavior of the reactor so that the level of the liquid in the reactor can be maintained. In this research, a model for reactor units will be developed at the Urea plant using the Adaptive Neuro Fuzzy Inference System (ANFIS) method using real-time operational data collected. This level control of reactor is maintained steady by level controller designed using inverse dynamics based on ANFIS. The results showed that ANFIS modeling was able to follow the actual system output with an RMSE value of 0.47995. besides, it was found that the ANFIS inverse dynamics controller was able to show better performance than the conventional PI controller, where the results of validation of RSME values controlling inverse dynamics ANFIS were 0.1592 while RSME for conventional PI controllers was 0.6447.
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