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2012 (Vol. 4, Issue: 21)
Article Information:

An Improved Fuzzy PI Controller for Type 1 Diabetes

Davood Nazari Maryam Abadi, Alireza Alfi and Mehdi Siahi
Corresponding Author:  Davood Nazari Maryam Abadi 

Key words:  Bergman model, fuzzy Proportional Integral (PI) controller, , , , ,
Vol. 4 , (21): 4417-4422
Submitted Accepted Published
April 25, 2012 May 16, 2012 November 01, 2012
Abstract:

Diabetes mellitus, an illness due the inefficiency of the pancreas in managing plasma glucose level, can result intensive side difficulties and death. Since the diabetes system is a nonlinear system the control of it associated with specific problems. For effective control, the use of fuzzy logic theory seems to be appropriate. In this study, Bergman model of type 1 diabetes is considered and is tried to design a fuzzy Proportional Integral (PI) controller base on Mamdani-type structure. In the design procedure, less linguistic rules are used so the proposed controller is less complicated than other existing fuzzy controllers. In order to evaluate the performance of the proposed controller, a control input and a disturbance input are derived from authoritative references and the system is tested on standard initial states for 10 h. The comparison with previous studies shows that the proposed controller reduces the blood glucose level in less time; however less insulin dosage in comparison with other optimal controllers is used.
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  Cite this Reference:
Davood Nazari Maryam Abadi, Alireza Alfi and Mehdi Siahi, 2012. An Improved Fuzzy PI Controller for Type 1 Diabetes.  Research Journal of Applied Sciences, Engineering and Technology, 4(21): 4417-4422.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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