Computational Modelling of the Control System of Multi-axis Spine Simulator

Description

In this presentation, PhD student Samantha Hayward from the University of Bath discusses her research on developing a new load control system for a six-axis spine simulator. She introduces the issue of low back pain, a common problem affecting approximately 80% of the population which incurs significant costs to healthcare systems. Despite extensive research, there remains a lack of consensus on effective treatments or prevention for back pain.



Hayward explains the testing methods used in the research field, contrasting position control—where known displacements are applied to one axis while others remain stationary—with load control, which allows for more physiological movements. She outlines the goals of her project, including designing, implementing, and validating a load control system using a computational model built in MATLAB's SimScape, representing the simulator's physical properties accurately.



A significant section of the talk details the implementation of the control system, including identifying key components such as a saturation block for motor velocity limits and transformations for accurate load control at specific points on specimens. Initial tests demonstrated good performance, with controlled loads closely matching desired command signals, showcasing the model's utility in both practical applications and during periods of restricted lab access due to the COVID-19 pandemic.



She concludes by reflecting on potential future challenges, particularly regarding tuning the PID parameters for biological specimens, hinting at ongoing efforts to ensure the system works effectively for nonlinear biological materials. The presentation ends with gratitude towards the Linder Foundation for their support and opens the floor for questions.

DOI: 10.1302/3114-221080

Specialties