|
|
Bimonthly Since 1986 |
ISSN 1004-9037
|
|
|
|
|
Publication Details |
Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
Distributed by:
China: All Local Post Offices
|
|
|
|
|
|
|
|
|
|
Abstract
For human being glucose is vital and the main source of energy present in the blood. The normal level of blood glucose is 72 to 99 mg/dl during fasting and less than 140 mg/dl after the food. Diabetes is the condition where blood glucose level is more than the normal range due to the production of insufficient insulin from the body of human being. Therefore it is necessary to regulate blood glucose to a normal range in diabetic patient. In this regard, many researchers have investigated on the regulation of Blood glucose using PID controller. The PID Controller can be used to control any process. It is done by properly tuning the parameters of PID controller until the required outcome is obtained for a particular plant or process. From the literature it is observed that the researchers have worked on Tuning parameters of PID to regulate blood glucose level to a normal range by using various techniques like routh’s approximation model reduction method, PID-Fuzzy Logic Controller, Zeigler Nichols and cohen-coon method, Genetic Algorithm. Here, an attempt has been made to highlight the contribution of various researchers towards the design and regulation of the blood glucose level.
Keyword
Blood Glucose Level, Diabetes, Fuzzy Logic Controller, Genetic Algorithm, PID Controller,
PDF Download (click here)
|
|
|
|
|