Design of Fuzzy and Linear Active Disturbance Rejection Control for Insulin Infusion in Type 1 Diabetic Patients
| Autor: | Shih Ming Wang, Te-Jen Su, Tung Yeh Tsou, Jason Sheng Hong Tsai, Van Kien Tran |
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| Rok vydání: | 2017 |
| Předmět: |
Type 1 diabetes
business.industry Insulin medicine.medical_treatment 020208 electrical & electronic engineering Blood sugar 02 engineering and technology medicine.disease Active disturbance rejection control Artificial pancreas Fuzzy logic Theoretical Computer Science Computational Theory and Mathematics Artificial Intelligence Control theory Heart failure 0202 electrical engineering electronic engineering information engineering medicine Process control 020201 artificial intelligence & image processing business Software |
| Zdroj: | International Journal of Fuzzy Systems. 19:1966-1977 |
| ISSN: | 2199-3211 1562-2479 |
| DOI: | 10.1007/s40815-017-0318-x |
| Popis: | Despite previously proposed process control methods for sugar control in type 1 diabetes patients, precise control remains an unsolved problem. The imbalance of insulin in the human body might lead to serious consequences such as kidney failure, heart failure and even death. Using the combination of fuzzy and linear active disturbance rejection control, this study aims at maintaining blood sugar level by controlling the insulin dose injected into the human body. In MATLAB/Simulink environment, simulation is built with the mathematical model of an artificial pancreas. Besides less dependence on the information of control target, the presented method shows significantly smooth blood glucose concentration when compared to a genetic algorithm–fuzzy–proportional integral controller. In addition to being without outside effects, the proposed method exposes its abilities in cases of having difference disturbances. |
| Databáze: | OpenAIRE |
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