A Study on Fuzzy Adaptive Control of Enteral Feeding Pump

Recent medical studies have investigated the importance of enteral feeding and the use of feeding pumps for recovering patients unable to feed themselves or gain nourishment and nutrients by natural means. The most of enteral feeding system uses a peristaltic tube pump. A peristaltic pump is a form of positive displacement pump in which a flexible tube is progressively squeezed externally to allow the resulting enclosed pillow of fluid to progress along it. The squeezing of the tube requires a precise and robust controller of the geared motor to overcome parametric uncertainty of the pumping system which generates due to a wide variation of friction and slip between tube and roller. So, this paper proposes fuzzy adaptive controller for the robust control of the peristaltic tube pump. This new adaptive controller uses a fuzzy multi-layered architecture which has several independent fuzzy controllers in parallel, each with different robust stability area. Out of several independent fuzzy controllers, the most suited one is selected by a system identifier which observes variations in the controlled system parameter. This paper proposes a design procedure which can be carried out mathematically and systematically from the model of a controlled system. Finally, the good control performance, accurate dose rate and robust system stability, of the developed feeding pump is confirmed through experimental and clinic testing.

• Seungwoo Kim
• Hyojune Chae
• Yongrae Jung
• Jongwook Kim

• Enteral Feeding Pump
• Peristaltic Tube Pump
• Fuzzy Adaptive Control
• Fuzzy Multi-layered Controller
• Look-up Table..

[1] Moller P, Lindberg CG, Zilling T. Gastrostomy by various technique:
evaluation of indications, outcome, and complications. Scand J
Gastroenterol. 1999; 34: 1050-1054.
[2] Jordan, A, Casppary WF, Stein J. Enteral feeding in malnutrition. Z
gerontol Geriatr. 1999; 32(suppl.1): 169-174.
[3] Fay DE, Poplausky M, Gruber M, Lance P. Long-term enteral feeding
pump: a retrospective comparison of delivery via percutaneous
endoscopic gastrostomy and nasoenteric tubes. Am J gastroenterol. 1991;
86: 1604-1609.
[4] Tanaka K, Sugeno M. Stability analysis and design of fuzzy control
systems. Fuzzy Sets Syst., 1992; 45: pp 135-156.
[5] Kim SW, Ma YK. A Study on Development of Home Mess-Cleanup
Robot McBot. In: Proceedings of the IEEE/ASME International
Conference on Advanced Intelligent Mechatronics, 2008; pp 114-119.
[6] Wang LX. A Course in Fuzzy systems and Control. Prentice-Hall
International, Inc., 1997.
[7] Polycarpou MU, Mears MJ. Stable adaptive tracking of uncertain
systems using nonlinearly parameterized approximators. Int. J. Control,,
1998; 70: pp 363-384.
[8] Cho JS, Park DJ. Novel fuzzy logic control based on weighting of
partially inconsistent rules using neural network. J intell. Fuzzy Syst.,
2000; 8: pp 99-110.W. D. Doyle, "Magnetization reversal in films with
biaxial anisotropy," in 1987 Proc. INTERMAG Conf., pp. 2.2-1-2.2-6.