Towards more Energy Efficient Pneumatic Soft Actuators using a Port-Hamiltonian Approach

Soft pneumatic actuators are very popular in the soft robotic community due to their ease of manufacturing and simplicity of control. Currently, the efficiency of such soft actuators and their ability to do useful work are rarely investigated in a formal approach. The lack of task-orientated development approaches presents a barrier to utilize soft robotic systems in our everyday lives. In this paper, we describe an experimental approach based on port-Hamiltonian theory applied on a type of pneumatic network (pneu-net) actuator to investigate the efficiency of task-orientated work. We can obtain efficiency from the external interactions of the port-Hamiltonian system. If we can minimize the internal energy interactions, then the power continuous nature of the port-Hamiltonian structure ensures more input energy will result in more useful work done at the output. We found out that higher efficiency actuators can be achieved with a softer material and a thinner wall thickness in the desired direction of the deformation. The internal mechanical energy storage is reduced as a result. However, if the task requires a higher work-done then a stiffer material is required. We can start to define a design approach based on the task. The task can be generalized in terms of energy. We can select the material properties suitable for the magnitude of work done. We can design the geometry to minimize the internal energy stored. The empirical model of the port-Hamiltonian structure provides insights into how the mechanical efficiency varies in terms of design parameters and the port-Hamiltonian approach is a step towards more practical, task-orientated soft robotic systems.

[1]  Markus P. Nemitz,et al.  Controlling and Simulating Soft Robotic Systems: Insights from a Thermodynamic Perspective , 2016 .

[2]  Robert J. Wood,et al.  A Resilient, Untethered Soft Robot , 2014 .

[3]  Andrew McDaid,et al.  Design and fabrication of a fiber-reinforced pneumatic bending actuator , 2016, 2016 IEEE International Conference on Advanced Intelligent Mechatronics (AIM).

[4]  Stefano Stramigioli,et al.  Energy-Efficient Variable Stiffness Actuators , 2011, IEEE Transactions on Robotics.

[5]  Alessandro Macchelli,et al.  Control by Interconnection and Energy Shaping of the Timoshenko Beam , 2004 .

[6]  Filip Ilievski,et al.  Soft robotics for chemists. , 2011, Angewandte Chemie.

[7]  Fionnuala Connolly,et al.  Automatic design of fiber-reinforced soft actuators for trajectory matching , 2016, Proceedings of the National Academy of Sciences.

[8]  Robert J. Wood,et al.  An integrated design and fabrication strategy for entirely soft, autonomous robots , 2016, Nature.

[9]  P. Cochat,et al.  Et al , 2008, Archives de pediatrie : organe officiel de la Societe francaise de pediatrie.

[10]  G. Whitesides Soft Robotics. , 2018, Angewandte Chemie.

[11]  Robert J. Wood,et al.  A soft wearable robotic device for active knee motions using flat pneumatic artificial muscles , 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

[12]  Tao Li,et al.  Exploiting the Dynamics of Soft Materials for Machine Learning , 2018, Soft robotics.

[13]  J. P. Holman,et al.  Experimental methods for engineers , 1971 .

[14]  D. Rus,et al.  Design, fabrication and control of soft robots , 2015, Nature.

[15]  G. Whitesides,et al.  Pneumatic Networks for Soft Robotics that Actuate Rapidly , 2014 .

[16]  Yi Sun,et al.  Characterization of silicone rubber based soft pneumatic actuators , 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[17]  Stefano Stramigioli,et al.  Modeling and Control of Complex Physical Systems - The Port-Hamiltonian Approach , 2014 .

[18]  Arjan van der Schaft,et al.  Port-Hamiltonian Systems Theory: An Introductory Overview , 2014, Found. Trends Syst. Control..

[19]  Robert J. Wood,et al.  Soft robotic glove for combined assistance and at-home rehabilitation , 2015, Robotics Auton. Syst..

[20]  Robert J. Wood,et al.  Mechanically programmable bend radius for fiber-reinforced soft actuators , 2013, 2013 16th International Conference on Advanced Robotics (ICAR).

[21]  Robert J. Wood,et al.  Pneumatic Energy Sources for Autonomous and Wearable Soft Robotics , 2014 .

[22]  Jim Euchner Design , 2014, Catalysis from A to Z.

[23]  Filip Ilievski,et al.  Multigait soft robot , 2011, Proceedings of the National Academy of Sciences.