Development of a SMA-Fishing-Line-McKibben Bending Actuator

High power-to-weight ratio soft artificial muscles are of overarching importance to enable inherently safer solutions to human–robot interaction. Traditional air-driven soft McKibben artificial muscles are linear actuators, and it is impossible for them to realize bending motions through use of a single muscle. More than two McKibben muscles are normally used to achieve bending or rotational motions, leading to heavier and larger systems. In addition, air-driven McKibben muscles are highly nonlinear in nature, making them difficult to be controlled precisely. An shape memory alloy (SMA)-fishing-line-McKibben (SFLM) bending actuator has been developed. This novel artificial actuator, made of an SMA-fishing-line muscle and a McKibben muscle, was able to produce the maximum output force of 3.0 N and the maximum bending angle (the rotation of the end face) of 61°. This may promote the application of individual McKibben muscles or SMA-fishing-line muscles alone. An output force control method for the SFLM is proposed, and based on MATLAB/Simulink software, an experiment platform is set up and the effectiveness of control system is verified through output force experiments. A three-fingered SFLM gripper driven by three SFLMs has been designed for a case study and for which the maximum carrying capacity is 650.4 ± 0.2 g.

[1]  Darwin G. Caldwell,et al.  Bio-mimetic actuators: polymeric Pseudo Muscular Actuators and pneumatic Muscle Actuators for biological emulation , 2000 .

[2]  Ian D. Walker,et al.  Field trials and testing of the OctArm continuum manipulator , 2006, Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006..

[3]  Xinwu Liang,et al.  Shape Detection Algorithm for Soft Manipulator Based on Fiber Bragg Gratings , 2016, IEEE/ASME Transactions on Mechatronics.

[4]  Bong-Soo Kang,et al.  Dynamic modeling of Mckibben pneumatic artificial muscles for antagonistic actuation , 2009, 2009 IEEE International Conference on Robotics and Automation.

[5]  Shuang Zhang,et al.  Control Design for Nonlinear Flexible Wings of a Robotic Aircraft , 2017, IEEE Transactions on Control Systems Technology.

[6]  P. Polygerinos,et al.  Mechanical Programming of Soft Actuators by Varying Fiber Angle , 2015 .

[7]  Yang Tianf Kinematic analysis of a gripper actuated by shape memory alloy springs , 2013 .

[8]  Ashish Dutta,et al.  SCARA based peg-in-hole assembly using compliant IPMC micro gripper , 2013, Robotics Auton. Syst..

[9]  John H. Lilly,et al.  Fuzzy Control for Pneumatic Muscle Tracking Via Evolutionary Tuning , 2003, Intell. Autom. Soft Comput..

[10]  Yonas Tadesse,et al.  Nylon-muscle-actuated robotic finger , 2015, Smart Structures.

[11]  Chaoqun Xiang,et al.  The design, hysteresis modeling and control of a novel SMA-fishing-line actuator , 2017 .

[12]  Jonathan Rossiter,et al.  Soft pneumatic grippers embedded with stretchable electroadhesion , 2018 .

[13]  Changyin Sun,et al.  Adaptive Neural Network Control of a Flapping Wing Micro Aerial Vehicle With Disturbance Observer , 2017, IEEE Transactions on Cybernetics.

[14]  John T. Wen,et al.  Modeling of a flexible beam actuated by shape memory alloy wires , 1997 .

[15]  Inhyuk Moon,et al.  Lightweight prosthetic hand with five fingers using SMA actuator , 2011, 2011 11th International Conference on Control, Automation and Systems.

[16]  Bong-Soo Kang,et al.  Compliance characteristic and force control of antagonistic actuation by pneumatic artificial muscles , 2014 .

[17]  Carter S. Haines,et al.  Artificial Muscles from Fishing Line and Sewing Thread , 2014, Science.

[18]  Ramiro Velazquez,et al.  A four-fingered robot hand with shape memory alloys , 2009, AFRICON 2009.

[19]  Michael A Meller,et al.  Hydraulic artificial muscles , 2012 .

[20]  Ronald Lumia,et al.  Design and test of IPMC artificial muscle microgripper , 2008 .

[21]  John D. W. Madden,et al.  Twisted Lines : Artificial muscle and advanced instruments can be formed from nylon threads and fabric. , 2015, IEEE Pulse.

[22]  Changyin Sun,et al.  Neural Network Control of a Flexible Robotic Manipulator Using the Lumped Spring-Mass Model , 2017, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[23]  Yantao Shen,et al.  Integrated sensing for ionic polymer–metal composite actuators using PVDF thin films , 2007 .

[24]  Hosang Jung,et al.  A robotic finger driven by twisted and coiled polymer actuator , 2016, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

[25]  Samia Nefti-Meziani,et al.  Variable stiffness Mckibben muscles with hydraulic and pneumatic operating modes , 2016, Adv. Robotics.

[26]  Aghil Yousefi-Koma,et al.  Design and fabrication of a gripper actuated by shape memory alloy spring , 2016, 2016 4th International Conference on Robotics and Mechatronics (ICROM).

[27]  Jian Cao,et al.  Integrated Direct/Indirect Adaptive Robust Posture Trajectory Tracking Control of a Parallel Manipulator Driven by Pneumatic Muscles , 2009, IEEE Transactions on Control Systems Technology.

[28]  Alin Albu-Schäffer,et al.  Requirements for Safe Robots: Measurements, Analysis and New Insights , 2009, Int. J. Robotics Res..

[29]  Changyin Sun,et al.  Neural Network Control of a Two-Link Flexible Robotic Manipulator Using Assumed Mode Method , 2019, IEEE Transactions on Industrial Informatics.

[30]  Chao Wang,et al.  Three-Dimensional Dynamics for Cable-Driven Soft Manipulator , 2017, IEEE/ASME Transactions on Mechatronics.

[31]  Changyin Sun,et al.  Adaptive Neural Impedance Control of a Robotic Manipulator With Input Saturation , 2016, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[32]  Constantinos Mavroidis,et al.  Optimal design of shape memory alloy wire bundle actuators , 2002, Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292).

[33]  Blake Hannaford,et al.  Measurement and modeling of McKibben pneumatic artificial muscles , 1996, IEEE Trans. Robotics Autom..