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Enhancement of Digital PID Controller Performance for Blood Glucose Level of Diabetic Patients using Disparate Tuning Techniques
Objectives: To design digital PID controller by using CHR-I and CHR-II tuning techniques, as it helps in finding out the tuning parameters of controllers for a specific system. Transformation of analog to digital PID controller using various transformation techniques like first order hold method, impulse-invariant mapping, Tustin approximation and zero-pole mapping equivalents and also the mathematical modeling of blood glucose level, such that a system injects the exact amount of insulin into the body of diabetic patient to maintain his/her glucose level to the normal range. Method/Statistical Analysis: The differential equation of the blood glucose level is formulated and then it is converted to three-dimensional Laplace equation using forward Laplace transform. Using the Laplace transform the differential equation of the blood glucose is converted into a s-domain equation. Then, using the s-domain equation as the equation of the system and the Tuning techniques, CHR-I and CHR-II, the tuning parameters (Kp, Ki and Kd) are acquired. Then, it is converted into digital, i.e. in z-domain, by applying disparate transformation techniques. Findings: On analyzing the acquired equation, it is depicted that on tuning the controller with CHR-I tuning technique the system exhibits zero overshoot which is most reliable and efficient for diabetic patient. Also, a considerable settling time of 6.3362 seconds is also achieved. Application/Improvement: Therefore, a system that can inject the exact amount of insulin into the patient's blood and bring the blood glucose level to the normal range, by automatically calculating the amount of insulin required, from the available status of blood glucose level, is being achieved.
Blood Glucose, Diabetes, Diabetic Patients, Digital PID Controller Tuning Techniques.
- Longo D, Fauci AS, Kasper D, Hauser S, Jamenson J, Loscalzo J. Harrisons principle of internal medicine. 18th Edition. McGraw Hill Education; 2011.
- Parisa K, Shtessel Y. Higher order sliding mode control for blood glucose regulation. Proceedings of International Workshop on Variable Structure Systems, USA, 2006. p. 11–6.
- Dua P, Doyle FJ, Pistikopoulos EN. Model-based blood glucose control for type 1 diabetes via parametric programming. IEEE Transactions on Biomedical Engineering. 2006 Aug; 53(8): 1478–91. Crossref PMid:16916082
- Kumar A, Phadke R. Design of digital PID controller for blood glucose monitoring system. International Journal of Engineering Research & Technology. 2014 Dec; 3 (12): 307–11.
- Ziegler JG, Nichols NB. Optimum settings for automatic controllers. Transactions of American Society of Mechanical Engineers. 1942 Nov; 64(8):759–68.
- Astrom K, Hagglund T. PID controllers theory design and tuning. The International Society Measurement and control; 1995.
- Perez JAR, Herrero PB. Extending the AMIGO PID tuning method to MIMO systems. IFAC conference on advances in PID control PID’12 Brescia, 2012.p. 211–6.
- Bennet S. Development of the PID controller. IEEE control systems.1993 Dec; 13 (6): 58–-65.
- Basu A, Mohanty S, Sharma R. Tuning of FOPID controller for meliorating the performance of the heating furnace using conventional tuning and optimization technique. International Journal of Electronics Engineering Research. 2017 Mar; 9 (1): 69–85.
- Basu A, Mohanty S, Sharma R. Designing of the PID and FOPID controllers using conventional tuning techniques. Proceedings of International conference on inventive computational technologies India, 2016. 128–32. Crossref
- Sharma R, Mohanty S, Basu A. Improvising tuning techniques for digital PID controller for blood glucose level of diabetic patient. Proceedings of International conference on emerging trends in electrical electronic and sustainable energy systems, 2016. 159–63. Crossref
- Sharma R, Mohanty S, Basu A. Tuning of digital PID controller for blood glucose level of diabetic patient. Proceedings of International conference on recent trends in electronics information and communication technology, 2016. 332–6. Crossref
- Miklosovic R, Radke A, Gao Z. Discrete implementation and generalization of the extended state observer. Proceedings of American control conference, 2006. 2209–14. Crossref
- Hori N, Cormier R, Kanai K. Matched pole-zero discretetime models. Proceedings of D-control theory and application. 1992 May; 139 (3): 273–8. Crossref 15. Janiszowski KB. A modification and the Tustin approximation. IEEE transactions on Automatic Control. 1993 Aug; 38 (8): 1313–16. Crossref
- Kucera V. Exact model matching, polynomial approach. International Journal of Systems Science. 1981 Jan; 12 (12): 1477–84. Crossref
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