BibTex Citation Data :
@article{TEKNIK22087, author = {Sumardi Sumardi and Munawar Riyadi and Lintang Aprivirly}, title = {Adaptive Neuro-Fuzzy Inference System (ANFIS) for Controlling Level and Pressure on Deaerator}, journal = {TEKNIK}, volume = {40}, number = {2}, year = {2019}, keywords = {Deaerator; level; pressure; ANFIS}, abstract = { DDeaerator is one of the most widely used plants in the chemical industry and marine steam power plant. Deaerator is used to eliminate oxygen in water that enters the boiler to avoid corrosion of the boiler pipes. Control of pressure and level in deaerator needs to be done to keep the process well. The purpose of the research is to design a control system that can keep pressure and level of deaerator on the set point un the presence of changes in the load and input systems. Deaerator should be controlled to keep its safety and efficiency. Adaptive Neuro-Fuzzy Inference System (ANFIS) is a combination of fuzzy logic control and neural network. Design of ANFIS requires an input-output data set obtained from a PI controller that is considered as a \"teacher\" for ANFIS for the learning process. The results of the simulation show that the system using ANFIS controller for controlling pressure and level deaerator in normal set point can produce very small maximum overshoot that is equal to 0% and small IAE value that is 7.898 for pressure, and 157.7 for level compared to PI }, issn = {2460-9919}, pages = {77--83} doi = {10.14710/teknik.v39i3.22087}, url = {https://ejournal.undip.ac.id/index.php/teknik/article/view/22087} }
Refworks Citation Data :
DDeaerator is one of the most widely used plants in the chemical industry and marine steam power plant. Deaerator is used to eliminate oxygen in water that enters the boiler to avoid corrosion of the boiler pipes. Control of pressure and level in deaerator needs to be done to keep the process well. The purpose of the research is to design a control system that can keep pressure and level of deaerator on the set point un the presence of changes in the load and input systems. Deaerator should be controlled to keep its safety and efficiency. Adaptive Neuro-Fuzzy Inference System (ANFIS) is a combination of fuzzy logic control and neural network. Design of ANFIS requires an input-output data set obtained from a PI controller that is considered as a "teacher" for ANFIS for the learning process. The results of the simulation show that the system using ANFIS controller for controlling pressure and level deaerator in normal set point can produce very small maximum overshoot that is equal to 0% and small IAE value that is 7.898 for pressure, and 157.7 for level compared to PI
Article Metrics:
Last update:
Evaluation of the cost-effectiveness of solutions to improve the efficiency of atmospheric deaeration in boiler plants
Automation of transportation of vapor of atmospheric deaerator in boiler installations
Last update: 2024-10-10 14:25:17
The Authors submitting a manuscript do so on the understanding that if accepted for publication, copyright of the article shall be assigned to jurnal TEKNIK and Faculty of Engineering, Diponegoro University as publisher of the journal.
Copyright transfer agreement can be found here: [Copyright transfer agreement in doc] and [Copyright transfer agreement in pdf].
View My Stats