Title
A New Variable Stiffness Actuator And Its Control Method
Abstract
Purpose To achieve variable stiffness, this paper aims to design a flexible actuator with variable stiffness by using the magnetorheological effect of magnetorheological fluid. The variable stiffness actuator can well meet the safety requirements of human-robot interaction and be more adaptable to unknown or complex environments. The variable stiffness actuator designed in this study can realize the continuous and controllable change of stiffness compared with the existing actuator.Design/methodology/approach The principle of variable stiffness actuator is illustrated in detail; the three-dimensional model and mechanical model of the flexible actuator are provided. The magnetic field distribution of the actuator coil is analyzed, and the dynamic model of the actuator is provided.Findings Output torque test suggests that the magnetorheological fluid variable stiffness actuator (VSAMF) can output a stable torque which meets the designing requirements of the test; sinusoidal follow-up test shows that VSAMF can implement sinusoidal follow-up; variable stiffness test shows that VSAMF can achieve real-time variable stiffness adjustment; the crash test suggests that VSAMF can well protect machines when meeting obstacles.Originality/value In this paper, a new variable stiffness joint is proposed through changing the current to change the performance of the stiffness, and it can realize the continuous and controllable change of stiffness.
Year
DOI
Venue
2019
10.1108/IR-05-2018-0107
INDUSTRIAL ROBOT-THE INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH AND APPLICATION
Keywords
Field
DocType
Man robot interface (MRI), Actuator, Magnetorheological fluid, Neural network
Magnetorheological fluid,Torque,Stiffness,Control theory,Control engineering,Electromagnetic coil,Crash test,Engineering,Artificial neural network,Actuator
Journal
Volume
Issue
ISSN
46
4
0143-991X
Citations 
PageRank 
References 
0
0.34
8
Authors
5
Name
Order
Citations
PageRank
lei zhang1403143.70
Wendong Wang282172.69
Yikai Shi300.34
Yang Chu400.34
Xing Ming500.34