Mechanical Engineering MS Thesis Defense by Mr. Joshua D. Avery
When: Friday,
May 20, 2016
1:00 PM
-
3:00 PM
Where: Textiles Building 101E
Description: Mechanical Engineering MS THESIS DEFENSE
by Mr. Joshua D. Avery
DATE:
May 20, 2016
TIME:
1:00 p.m. 3:00 p.m.
LOCATION:
Textile Building, Room 101E
TOPIC:
Controlling Blood Glucose Concentration of Diabetic Patients Using Fuzzy Logic Control: A Virtual Study and Comparison
ABSTRACT:
There has been much advancement in the field of medicine over the course of human history, but especially in the last century. Many medicinal theories have come and gone with more accurate and up to date research. Today testing and validation of research is often done with computers and mathematical modeling. One of the common fields in medicine which uses such computer simulation is insulin replacement therapy for diabetic patients.
A diabetic patient lacks the capability of naturally producing insulin the human body needs to regulate blood sugar. The pancreas is responsible for producing insulin to counteract the constant fluctuations in blood sugar. Many factors such as eating, exercising and even sleeping will cause blood sugar levels to rise and fall. Without regular doses of insulin to regulate blood sugar, diabetic patients can experience health complications.
Many methods of insulin replacement for diabetic patients have been used throughout the history of treating diabetes. The most innovative and current method of insulin replacement today stems from the invention of the artificial pancreas.
This thesis focuses on the design of a controller for the artificial pancreas with the goal of maximizing its effectiveness. A mathematical metabolic model of the human body, which is validated by the FDA to be used in non-human virtual trials, is used. With this model, the user is able to define a wide variety of parameters and most importantly design a controller to make the closed loop system work as effectively as possible.
There are many methods that have been used to design a controller. For this thesis, the focus will be evaluating the use of Fuzzy Logic at the heart of the controller for the artificial pancreas. It is shown that with the combination of the mathematical model and the Fuzzy Logic controller, improved performance was achieved. Various implementations of Fuzzy Logic control are detailed and compared to other methods developed by other researchers. The results show Fuzzy Logic has the potential to be a very effective method to use for the control of an artificial pancreas.
ADVISOR:
Dr. Tesfay Meressi (tmeressi@umassd.edu, 508-999-8542)
COMMITTEE MEMBERS:
Dr. Raymond Laoulache and Dr. Wenzhen Huang
Open to the public. All MNE students are encouraged to attend.
For more information, please contact Sue Cunha (scunha@umassd.edu, 508-999-8492).
by Mr. Joshua D. Avery
DATE:
May 20, 2016
TIME:
1:00 p.m. 3:00 p.m.
LOCATION:
Textile Building, Room 101E
TOPIC:
Controlling Blood Glucose Concentration of Diabetic Patients Using Fuzzy Logic Control: A Virtual Study and Comparison
ABSTRACT:
There has been much advancement in the field of medicine over the course of human history, but especially in the last century. Many medicinal theories have come and gone with more accurate and up to date research. Today testing and validation of research is often done with computers and mathematical modeling. One of the common fields in medicine which uses such computer simulation is insulin replacement therapy for diabetic patients.
A diabetic patient lacks the capability of naturally producing insulin the human body needs to regulate blood sugar. The pancreas is responsible for producing insulin to counteract the constant fluctuations in blood sugar. Many factors such as eating, exercising and even sleeping will cause blood sugar levels to rise and fall. Without regular doses of insulin to regulate blood sugar, diabetic patients can experience health complications.
Many methods of insulin replacement for diabetic patients have been used throughout the history of treating diabetes. The most innovative and current method of insulin replacement today stems from the invention of the artificial pancreas.
This thesis focuses on the design of a controller for the artificial pancreas with the goal of maximizing its effectiveness. A mathematical metabolic model of the human body, which is validated by the FDA to be used in non-human virtual trials, is used. With this model, the user is able to define a wide variety of parameters and most importantly design a controller to make the closed loop system work as effectively as possible.
There are many methods that have been used to design a controller. For this thesis, the focus will be evaluating the use of Fuzzy Logic at the heart of the controller for the artificial pancreas. It is shown that with the combination of the mathematical model and the Fuzzy Logic controller, improved performance was achieved. Various implementations of Fuzzy Logic control are detailed and compared to other methods developed by other researchers. The results show Fuzzy Logic has the potential to be a very effective method to use for the control of an artificial pancreas.
ADVISOR:
Dr. Tesfay Meressi (tmeressi@umassd.edu, 508-999-8542)
COMMITTEE MEMBERS:
Dr. Raymond Laoulache and Dr. Wenzhen Huang
Open to the public. All MNE students are encouraged to attend.
For more information, please contact Sue Cunha (scunha@umassd.edu, 508-999-8492).
Topical Areas: Faculty, General Public, Staff and Administrators, Students, University Community, College of Engineering, Mechanical Engineering, Lectures and Seminars