Design And Development of a Feeding Unit for Medical Devices Implanted Inside Human Body Using Artificial Intelligence Theories

Abdulkarim Almuhammad, Mohanad Alrasheed

Keywords: Micro-electromagnetic, Direct AC-DC Step Up Converter, dsPIC, Biomedical Implants, micro-generator, Artificial Intelligence Theories.

In this research paper, we present the design and development of a power unit for medical devices that are implanted inside the human body. It uses a micro-electromagnetic generator to generate electrical energy by taking advantage of natural vibrations to generate electrical energy in order to supply these applications that need electrical supply for a long period without human intervention. We used a direct lever rectifier switch. Direct AC-DC Step Up Converter for low voltage amplitude to reach a value suitable for the application in the open loop. The voltage in the closed loop was then regulated using a fuzzy controller based on digital signal processing chips, which allowed improving the performance of the converter. To calculate the fuzzy controller, we used the Fuzzy Logic tool of MATLAB. 

Interconnection circuits were proposed to adapt low-level signals to control circuits and power switches. We performed a simulation of the entire system, represented by the control circuit based on digital signal processing chips, the fuzzy control algorithm, and the switcher using the Proteus program in the open and closed loop, and then we compared and discussed the results. 


[1] G. Ashok1, K. B. Madhu Sahu, Ch. Krishna Rao,   Closed Loop Operation of High Efficiency Ac-Dc Step-Up Converter Using Fuzzy Logic Controller, Journal of Engineering Research and Applications,  Vol. 3, Issue 6, Nov-Dec 2013.

[2] H. Susan, K.Dhayalini, Design and Simulation of AC to DC Low Voltage Energy Harvesting Converters, Journal of Scientific & Engineering Research, Volume 4, Issue 8, August 2013.

[3] S .Dwari ,L. Parsa, An Efficient AC/DC Step Up Converter for Low Voltage Energy Harvesting ,IEEE Trans On Power Electronics VOL .25,NO.8, Aug 2010.

[4] B. H. Stark, P. D. Mitcheson, M. Peng, T. C. Green, E. Yeatman, A. S. Holmes, Converter circuit design, semiconductor device selection and analysis of parasitics for micropower electrostatic generators, IEEE Trans. Power Electron., vol. 21, no. 1, pp. 27–37, Jan. 2006.

[5] M .N. Cirstea, A. Dinu, J.G. Khor, M. McCormick; Neural and Fuzzy Logic Control of  Drives and Power Systems; India. ISBN 07506 55585.2002.

[6] S. N. Sivanandam, S. Sumathi ,S. N. Deepa; Introduction to Fuzzy Logic using MATLAB; New York. Springer,2007.

[7] J. Ross; FUZZY LOGIC WITH ENGINEERING APPLICATIONS; USA. University of New Mexico,2010.

[8] V. Dinavahi,N. Lin ; DC‐DC Converters; USA. IEEE 2021.

[9] G. Nandi; Fuzzy Computing; USA. IEEE 2024.

[10] A.Puryaev, A.Puryaev ; Fuzzy Logic Toolbox in Evaluating the Effectiveness of Projects in the Matlab Program; IEEE . International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon),  06-09 October 2020.

[11] R. C. H. Chang et al., A high-performance AC-DC rectifier with fully actively controlled switches for vibration energy harvesting; Proceedings of IEEE WPTC, pp. 1-4, 2017.

[12] A. Shin et al., A MEMS Magnetic-Based Vibration Energy Harvester; IEEE PowerMEMS, Nov. 2017.