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.