Optimal intelligent control for glucose regulation | ||
| مکانیک سازه ها و شاره ها | ||
| مقاله 9، دوره 2، شماره 3، مهر 1391، صفحه 71-79 اصل مقاله (1.35 M) | ||
| نوع مقاله: مقاله مستقل | ||
| شناسه دیجیتال (DOI): 10.22044/jsfm.2012.67 | ||
| نویسندگان | ||
| مهدی سیاهی* 1؛ علیرضا الفی2؛ داوود نظری مریم آبادی3؛ محمدحسن خوبان3 | ||
| 1استادیار دانشگاه | ||
| 2دانشگاه صنعتی شاهرود | ||
| 3دانشگاه آزاد گرمسار | ||
| چکیده | ||
| This paper introduces a novel control methodology based on fuzzy controller for a glucose-insulin regulatory system of type I diabetes patient. First, in order to incorporate knowledge about patient treatment, a fuzzy logic controller is employed for regulating the gains of the basis Proportional-Integral (PI) as a self-tuning controller. Then, to overcome the key drawback of fuzzy logic controller, i.e., the lack of systematic methods to define fuzzy rules and fuzzy membership functions, fuzzy PI controller are optimised by Particle Swarm Optimization with Linearly Decreasing Weight (LDW-PSO) algorithm, which is a novel evolutionary computation technique. Simulation results show the effectiveness of the proposed optimal fuzzy PI controller in terms of accuracy and time margin. This paper introduces a novel control methodology based on fuzzy controller for a glucose-insulin regulatory system of type I diabetes patient. First, in order to incorporate knowledge about patient treatment, a fuzzy logic controller is employed for regulating the gains of the basis Proportional-Integral (PI) as a self-tuning controller. Then, to overcome the key drawback of fuzzy logic controller, i.e., the lack of systematic methods to define fuzzy rules and fuzzy membership functions, fuzzy PI controller are optimised by Particle Swarm Optimization with Linearly Decreasing Weight (LDW-PSO) algorithm, which is a novel evolutionary computation technique. Simulation results show the effectiveness of the proposed optimal fuzzy PI controller in terms of accuracy and time margin | ||
| کلیدواژه‌ها | ||
| Type 1 diabetes؛ Bergman Model؛ Fuzzy Logic Control؛ Particle Swram Optimization PI Controller | ||
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