Title :
Adaptive modeling of a fully hysteretic Magneto-Rheological clutch
Author :
Yadmellat, Peyman ; Kermani, Mehrdad Radji
Author_Institution :
Electr. & Comput. Eng. Dept., Univ. of Western Ontario, London, ON, Canada
Abstract :
In this paper, a new open-loop model for a Magneto-Rheological (MR) based actuator is presented. The model consists of two parts relating the output torque of the actuator to its internal magnetic field, and the internal magnetic field to the applied current. Each part possesses its own hysteretic behavior. The first part uses an open-loop Bouc-Wen model to relate the output torque to internal magnetic field. The second part uses a novel nonlinear adaptive observer that relates the internal magnetic field to the applied current. The model facilitates accurate control of the actuator using its input current. It also eliminates the need for force/torque sensors for providing feedback signals. The accuracy of the constructed model is validated through simulations. The overall model as well as each part of it is assessed against a widely accepted hysteresis modeling approach, known as the Preisach model and its advantages are highlighted. The second part of model is also compared to Bingham model which has been broadly employed in modeling of MR fluid dynamic. Bouc-Wen model shows higher accuracy in capturing hysteretic behavior of MR fluid in comparison to non-hysteretic Bingham model. Experimental results using the prototyped actuation mechanism further verify the accuracy of the model and demonstrate its effectiveness.
Keywords :
actuators; clutches; feedback; force sensors; magnetorheology; non-Newtonian fluids; observers; Bingham model; MR fluid dynamic; Preisach model; adaptive modeling; feedback signals; force-torque sensors; fully hysteretic magneto-rheological clutch; hysteresis modeling approach; hysteretic behavior; internal magnetic field; magneto-rheological based actuator; non-hysteretic Bingham model; nonlinear adaptive observer; open-loop Bouc-Wen model; open-loop model; output torque; Actuators; Adaptation models; Computational modeling; Magnetic hysteresis; Mathematical model; Predictive models; Torque;
Conference_Titel :
Robotics and Automation (ICRA), 2012 IEEE International Conference on
Conference_Location :
Saint Paul, MN
Print_ISBN :
978-1-4673-1403-9
Electronic_ISBN :
1050-4729
DOI :
10.1109/ICRA.2012.6224724