DocumentCode :
31340
Title :
Adaptive Modeling of a Magnetorheological Clutch
Author :
Yadmellat, Peyman ; Kermani, Mehrdad R.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Western Ontario, London, ON, Canada
Volume :
19
Issue :
5
fYear :
2014
fDate :
Oct. 2014
Firstpage :
1716
Lastpage :
1723
Abstract :
In this paper, a new open-loop model for a magnetorheological-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 a novel nonlinear adaptive model that relates the internal magnetic field to the applied current. The second part uses an open-loop Bingham model to relate the output torque to an internal magnetic field. 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 model is assessed against a widely accepted hysteresis modeling approach, known as the Preisach model and its advantages are highlighted. Experimental results using the prototyped actuation mechanism further verify the accuracy of the model and demonstrate its effectiveness.
Keywords :
adaptive control; clutches; electric current control; feedback; force sensors; hysteresis; intelligent actuators; magnetic fields; magnetic fluids; magnetorheology; nonlinear control systems; open loop systems; torque control; Preisach model; adaptive modeling; applied current; feedback signals; force sensor; hysteresis modeling approach; hysteretic behavior; internal magnetic field; magnetorheological clutch; magnetorheological fluids; magnetorheological-based actuator; nonlinear adaptive model; open-loop Bingham model; output torque; prototyped actuation mechanism; smart actuators; torque sensors; Actuators; Adaptation models; Approximation methods; Computational modeling; Integrated circuit modeling; Magnetic hysteresis; Torque; Adaptive modeling; hysteresis; magnetorheological fluids (MRFs); smart actuators;
fLanguage :
English
Journal_Title :
Mechatronics, IEEE/ASME Transactions on
Publisher :
ieee
ISSN :
1083-4435
Type :
jour
DOI :
10.1109/TMECH.2013.2292594
Filename :
6687243
Link To Document :
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