Journal metrics

Journal metrics

  • IF value: 1.352 IF 1.352
  • IF 5-year value: 1.615 IF 5-year 1.615
  • CiteScore value: 1.48 CiteScore 1.48
  • SNIP value: 0.965 SNIP 0.965
  • SJR value: 0.288 SJR 0.288
  • IPP value: 1.08 IPP 1.08
  • h5-index value: 12 h5-index 12
  • Scimago H index value: 11 Scimago H index 11
Supported by
Logo Library of Delft University of Technology Logo NWO
Affiliated to
Logo iftomm
Volume 9, issue 2 | Copyright
Mech. Sci., 9, 277-296, 2018
https://doi.org/10.5194/ms-9-277-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 28 Aug 2018

Research article | 28 Aug 2018

Mechatronic design and genetic-algorithm-based MIMO fuzzy control of adjustable-stiffness tendon-driven robot finger

Izzat Al-Darraji1,2, Ali Kılıç1, and Sadettin Kapucu1 Izzat Al-Darraji et al.
  • 1Mechanical Engineering Department, University of Gaziantep, Gaziantep, Turkey
  • 2Automated Manufacturing Department, University of Baghdad, Baghdad, Iraq

Abstract. This work presents a detailed design of a three-jointed tendon-driven robot finger with a cam/pulleys transmission and joint Variable Stiffness Actuator (VSA). The finger motion configuration is obtained by deriving the cam/pulleys transmission profile as a mathematical solution that is then implemented to achieve contact force isotropy on the phalanges. A VSA is proposed, in which three VSAs are designed to act as a muscle in joint space to provide firm grasping. As a mechatronic approach, a suitable type and number of force sensors and actuators are designed to sense the touch, actuate the finger, and tune the VSAs. The torque of the VSAs is controlled utilizing a designed Multi Input Multi Output (MIMO) fuzzy controller. The fuzzy controller input is the force sensors' signals that are used to set the appropriate VSA torque. The fuzzy controller parameters are then tuned using a genetic algorithm as an optimization technique. The objective function of the genetic algorithm is to avoid unbalance torque in the individual joints and to reduce the difference between the values of the supplied VSAs torques. Finally, the operation of the aforementioned finger system is organized through a simple control algorithm. The function of this algorithm is to enable the detection of the unknown object and simultaneously automatically activate the optimized fuzzy controller thus eliminating the necessity of any external control unit.

Download & links
Publications Copernicus
Download
Short summary
The aim of this study is to integrate suggested control algorithms with a mechatronic design of underactuated adjustable stiffness finger for improving grasping operation. The designed robot finger system has the following main features: (1) preventing damage of objects during contact with phalanges, (2) having firm grasping, (3) adjusting grasped-forces on phalanges by stiffness of joints, and (4) implementing job independently without external control unit.
The aim of this study is to integrate suggested control algorithms with a mechatronic design of...
Citation
Share