TY - JOUR ID - 67 TI - Optimal intelligent control for glucose regulation JO - مکانیک سازه ها و شاره ها JA - JSFM LA - fa SN - 2251-9475 AU - سیاهی, مهدی AU - الفی, علیرضا AU - نظری مریم آبادی, داوود AU - خوبان, محمدحسن AD - استادیار دانشگاه AD - دانشگاه صنعتی شاهرود AD - دانشگاه آزاد گرمسار Y1 - 2012 PY - 2012 VL - 2 IS - 3 SP - 71 EP - 79 KW - Type 1 diabetes KW - Bergman Model KW - Fuzzy Logic Control KW - Particle Swram Optimization PI Controller DO - 10.22044/jsfm.2012.67 N2 - 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 UR - https://jsfm.shahroodut.ac.ir/article_67.html L1 - https://jsfm.shahroodut.ac.ir/article_67_4083a7eb38a033a09dd000ff3d20097b.pdf ER -