Abstract
Diabetes therapy is normally based on discrete insulin infusion that uses long-time interval measurements. Nevertheless, in this paper, a continuous drug infusion closed-loop control system was proposed to avoid the traditional discrete approaches by automating diabetes therapy. Based on a continuous insulin injection model, two controllers were designed to deal with this plant. The controllers designed in this paper are: proportional integral derivative (PID), and fuzzy logic controllers (FLC). Simulation results have illustrated that the fuzzy logic controller outperformed the PID controller. These results were based on serious disturbances to glucose, such as exercise, delay or noise in glucose sensor and nutrition mixed meal absorption at meal time.
Highlights
Many researchers have attempted to find methods for diagnosing and treating diabetes disease
The controllers designed in this paper are: proportional integral derivative (PID), and fuzzy logic controllers (FLC)
The overshoot of blood glucose (BG) concentration in the FLC is a little more than what happened in the PID
Summary
Many researchers have attempted to find methods for diagnosing and treating diabetes disease. A fully automated closed-loop insulin delivery system ( known as an artificial pancreas) could potentially be the ultimate answer for blood glucose (BG) control in diabetic patients. This system can mimic the activity of a normal pancreas and is capable of maintaining physiological BG levels for insulin-dependent diabetic patients. The insulin infusion and glucose measurements are either invasive or non-invasive, usually achieve using the subcutaneous route [1,2] This closed-loop control is very similar to the function that is performed by a healthy human pancreas; in other words, the research’s aim is to design a device that essentially functions as an artificial pancreas. This paper emphasises the need of a good quality controller when it comes to critical diabetes situations
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