DocumentCode
249790
Title
Study of limit cycle in antagonistically coupled Magneto-Rheological actuators
Author
Yadmellat, Peyman ; Kermani, Mehrdad R.
Author_Institution
Electr. & Comput. Eng. Dept., Univ. of Western Ontario, London, ON, Canada
fYear
2014
fDate
May 31 2014-June 7 2014
Firstpage
1084
Lastpage
1089
Abstract
In this paper, the presence of limit cycles in the behavior of antagonistically coupled Magneto-Rheological (MR) actuators is investigated. The actuator considered in this paper was developed and described in [1] and [2]. This actuator offers high torque-to-mass and torque-to-inertia ratios, for inherent safe actuation. While the antagonistic arrangement is beneficial in improving the actuator performance and eliminating backlash, it may result in limit cycles when the actuator operates in a position control loop. The occurrence of limit cycle depends on the parameters of the actuator as well as the controller. An in-depth analysis is carried out in this paper to establish a connection between the system parameters and the limit cycle occurrence. Moreover, sufficient conditions for avoiding limit cycle are derived specifically for a Proportional-Derivative (PD) controller. Simulations and experimental results validate the analysis and provide insights into the limit cycle observed in the operation of antagonistic MR actuators.
Keywords
PD control; control system synthesis; intelligent actuators; limit cycles; magnetorheology; position control; torque control; PD controller; actuator parameters; actuator performance; antagonistic MR actuators; antagonistic arrangement; antagonistically coupled magneto-rheological actuators behavior; controller parameters; high torque-to-mass ratios; limit cycle occurrence; position control loop; proportional-derivative controller; safe actuation; sufficient conditions; system parameters; torque-to-inertia ratios; Actuators; Limit-cycles; Magnetomechanical effects; Position control; Robots; Shafts; Torque;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics and Automation (ICRA), 2014 IEEE International Conference on
Conference_Location
Hong Kong
Type
conf
DOI
10.1109/ICRA.2014.6906989
Filename
6906989
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