Title: An automatic insulin infusion system based on LQG control technique

Authors: Akshaya Kumar Patra; Pravat Kumar Rout

Addresses: Department of Electrical and Electronics Engineering, ITER, Siksha 'O' Anusandhan University, Bhubaneswar 751030, Odisha, India ' Department of Electrical and Electronics Engineering, ITER, Siksha 'O' Anusandhan University, Bhubaneswar 751030, Odisha, India

Abstract: This paper makes an attempt to develop clinical simulation model of glucose-insulin interaction and to design an optimal controller to regulate the Blood Glucose (BG) level in Insulin-Dependent Diabetes Mellitus (IDDM) patients. For enhancing the quality of life of the patient, an automated insulin delivery system based on Linear Quadratic Gaussian (LQG) control algorithm is suggested, and to justify its efficacy a comparative analysis with conventional Proportional-Integral-Derivative (PID) control tuned using the Ziegler-Nichols method and optimal H_∞ control based on solutions of Riccati equations is presented. For designing of the controller, a ninth-order linearised state-space model of the glucose-insulin interaction process of an IDDM patient has been used. The controller performances are assessed in terms of ability to track a normoglycaemic set point of 81 mg/dL (4.5 mmol/L) in the presence of Gaussian and stochastic noise.

Keywords: diabetes mellitus; insulin infusion; glucose regulation; LQG control; linear quadratic Gaussian; PID control; H-infinity control; automatic infusion; simulation; modelling; glucose-insulin interaction; optimal control; controller design; blood glucose levels; insulin-dependent diabetics.

DOI: 10.1504/IJBET.2015.068109

International Journal of Biomedical Engineering and Technology, 2015 Vol.17 No.3, pp.252 - 275

Received: 23 Aug 2014
Accepted: 06 Nov 2014
Published online: 17 Mar 2015 *

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