Your Search Results

Use this resource - and many more! - in your textbook!

AcademicPub holds over eight million pieces of educational content for you to mix-and-match your way.

Experience the freedom of customizing your course pack with AcademicPub!
Not an educator but still interested in using this content? No problem! Visit our provider's page to contact the publisher and get permission directly.

Adaptive fuzzy control on a chewing machine

By: Huang, L.; Bronlund, J.E.; Sun, C.; Xu, W.L.;

2011 / IEEE / 978-1-61284-200-4


This item was taken from the IEEE Conference ' Adaptive fuzzy control on a chewing machine ' A chewing machine is developed to simulate human chewing behaviour in terms of kinematics and force application on food. This research aims at implementing adaptive fuzzy control on the chewing machine so it is able to chew different foods accordingly like a real human. Dynamics of the chewing machine has been analysed. A MATLAB Simulink model including double close loop velocity control system, adaptive fuzzy control system and the chewing machine is created. A marshmallow model simulating force-deformation relationship is developed and integrated into the control system to validate the adaptive fuzzy control. After applying the adaptive fuzzy control, the results show that the chewing machine can chew foods differently based on the texture of foods.