Optimal intelligent control for glucose regulation
محل انتشار: مجله مکانیک سازه ها و شاره ها، دوره: 2، شماره: 3
سال انتشار: 1391
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 790
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شناسه ملی سند علمی:
JR_JSFM-2-3_001
تاریخ نمایه سازی: 13 مرداد 1394
چکیده مقاله:
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 optimized 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.
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نویسندگان
M. Siahi
Dept. of Electrical Engineering, Islamic Azad University of Garmsar
A Alfi
Assist. Prof., Faculty of Electrical and Robotic Engineering, Shahrood University of Technology
D Nazari Maryamabadi
Dept. of Electrical Engineering, Islamic Azad University of Garmsar
M.H Khooban
Dept. of Electrical Engineering, Islamic Azad University of Garmsar