Iterative learning control for improved tracking of fluid percussion injury device

Traumatic brain injury (TBI) afflicts over 10 million people around the world. Injury to the brain can occur from a variety of physical insults and the degree of disability can greatly vary from person to person. It is likely that the wide range of TBI outcomes may be due to the magnitude, direction, and forces of biomechanical insult acting on the head during such TBI events. Lateral Fluid Percussion (FPI) brain injury is one of the most commonly used and well-characterized experimental models of TBI. A Fluid Percussion Injury (FPI) device in the laboratory is used to replicate the injury but does not execute the desired pressure profile. The controller used is a QCI-S3-IG Silver Sterling from Quick Silver Controls. A limitation innate to the controller was a 3-millisecond sampling of the input signal that proved challenging for developing fast, accurate FPI pulses with periods as fast as 18-milliseconds. Iterative Learning Control is implemented which conditions the input signal to the open loop system offline such that the desired pressure profile is attained.

Name thesis:degree_name

Master of Science in Electrical Engineering - (M.S.)

Discipline thesis:degree_discipline

Electrical and Computer Engineering

Year

2017

Author dc:creator

• Susanibar, Steve

Contributors dc:contributor

• Cong Wang
• Bryan J. Pfister
• Xuan Liu

• Traumatic brain injury
• Lateral fluid percussion
• Fluid percussion injury device
• Electrical and Electronics

Repository record dc:identifier

https://digitalcommons.njit.edu/theses/35

OAI identifier oai:identifier

oai:digitalcommons.njit.edu:theses-1034