A new fractional-order general type-2 fuzzy predictive control system and its application for glucose level regulation

Ardashir Mohammadzadeh, Tufan Kumbasar*

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63 Atıf (Scopus)

Özet

In this paper a new robust fractional-order predictive controller is presented and employed to regulate the glucose level in type-1 diabetes. The dynamics of the system is fully unknown an it is online estimated by a fractional-order model using interval Type-2 (T2) fuzzy logic system. The proposed control system is composed of two main controllers which are the predictive General T2 Fuzzy Logic Controller (GT2-FLC) and compensator controller. In this structure, the main controller is the GT2-FLC which is optimized via the Biogeography-based Optimization (BBO) algorithm such that to minimize a cost function in a fixed prediction horizon. The compensator controller is designed to guarantee the closed-loop asymptotic stability. The performance of proposed control strategy is examined on the modified Bergman's model of some patients with time-varying parameters, external noise perturbation and meal disturbances. The effectiveness of the proposed control scheme is verified and is compared with the other T2 fuzzy and well-known model predictive controllers. The results of the paper clearly show the superiority of the proposed T2 fuzzy logic control system.

Orijinal dilİngilizce
Makale numarası106241
DergiApplied Soft Computing
Hacim91
DOI'lar
Yayın durumuYayınlandı - Haz 2020

Bibliyografik not

Publisher Copyright:
© 2020 Elsevier B.V.

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