Iterative Learning Control for Motion Trajectory Tracking of a Circular Soft Crawling Robot

Soft robots have recently received much attention with their infinite degrees of freedoms and continuously deformable structures, which allow them to adapt well to the unstructured environment. A new type of soft actuator, namely, dielectric elastomer actuator (DEA) which has several excellent properties such as large deformation and high energy density is investigated in this study. Furthermore, a DEA-based soft robot is designed and developed. Due to the difficulty of accurate modeling caused by nonlinear electromechanical coupling and viscoelasticity, the iterative learning control (ILC) method is employed for the motion trajectory tracking with an uncertain model of the DEA. A D2 type ILC algorithm is proposed for the task. Furthermore, a knowledge-based model framework with kinematic analysis is explored to prove the convergence of the proposed ILC. Finally, both simulations and experiments are conducted to demonstrate the effectiveness of the ILC, which results show that excellent tracking performance can be achieved by the soft crawling robot.

[1]  Jian-Xin Xu,et al.  Review of torque ripple minimization in PM synchronous motor drives , 2008, 2008 IEEE Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century.

[2]  Jian Zhu,et al.  Modelling and Control of a Novel Soft Crawling Robot Based on a Dielectric Elastomer Actuator , 2018, 2018 IEEE International Conference on Robotics and Automation (ICRA).

[3]  Andrew G. Alleyne,et al.  A Norm Optimal Approach to Time-Varying ILC With Application to a Multi-Axis Robotic Testbed , 2011, IEEE Transactions on Control Systems Technology.

[4]  Jennifer H. Shin,et al.  Shape memory alloy-based small crawling robots inspired by C. elegans , 2011, Bioinspiration & biomimetics.

[5]  Angela P. Schoellig,et al.  Visual teach and repeat, repeat, repeat: Iterative Learning Control to improve mobile robot path tracking in challenging outdoor environments , 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[6]  Daniela Rus,et al.  Autonomous undulatory serpentine locomotion utilizing body dynamics of a fluidic soft robot , 2013, Bioinspiration & biomimetics.

[7]  Jian-Xin Xu,et al.  Iterative Learning Control , 1998 .

[8]  Xiangyang Zhu,et al.  Feedforward deformation control of a dielectric elastomer actuator based on a nonlinear dynamic model , 2015 .

[9]  G. Lau,et al.  Lightweight mechanical amplifiers for rolled dielectric elastomer actuators and their integration with bio-inspired wing flappers , 2014 .

[10]  Daniel E. Rivera,et al.  Internal Model Control , 2010, Encyclopedia of Machine Learning.

[11]  Georgios Andrikopoulos,et al.  A Survey on applications of Pneumatic Artificial Muscles , 2011, 2011 19th Mediterranean Conference on Control & Automation (MED).

[12]  Xiangyang Zhu,et al.  Soft wall-climbing robots , 2018, Science Robotics.

[13]  W. Lu,et al.  Semiconductor nanowires from next-generation electronics to sustainable energy , 2014 .

[14]  C. Keplinger,et al.  Giant voltage-induced deformation in dielectric elastomers near the verge of snap-through instability , 2013 .

[15]  Chris Freeman.  Iterative Learning Control Design , 2016 .

[16]  Shuxiang Guo,et al.  A biomimetic underwater microrobot with multifunctional locomotion , 2012, Robotics Auton. Syst..

[17]  Z. Suo.  Theory of dielectric elastomers , 2010 .

[18]  Tareq Assaf,et al.  Cerebellar-inspired algorithm for adaptive control of nonlinear dielectric elastomer-based artificial muscle , 2016, Journal of The Royal Society Interface.

[19]  A.G. Alleyne,et al.  A survey of iterative learning control , 2006, IEEE Control Systems.

[20]  Suguru Arimoto,et al.  Bettering operation of Robots by learning , 1984, J. Field Robotics.

[21]  Jochen J. Steil,et al.  Constant curvature continuum kinematics as fast approximate model for the Bionic Handling Assistant , 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[22]  Jian Zhu,et al.  Control of a muscle-like soft actuator via a bioinspired approach , 2018, Bioinspiration & biomimetics.

[23]  Robert J. Wood,et al.  A high speed soft robot based on dielectric elastomer actuators , 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA).

[24]  Jian Zhu,et al.  A Soft Jellyfish Robot Driven by a Dielectric Elastomer Actuator , 2016, IEEE Robotics and Automation Letters.

[25]  Samuel Shian,et al.  Use of aligned fibers to enhance the performance of dielectric elastomer inchworm robots , 2015, Smart Structures.

[26]  D. Floreano,et al.  Versatile Soft Grippers with Intrinsic Electroadhesion Based on Multifunctional Polymer Actuators , 2016, Advanced materials.

[27]  Zeungnam Bien,et al.  Iterative learning control: analysis, design, integration and applications , 1998 .

[28]  Xiangyang Zhu,et al.  Modeling of Viscoelastic Electromechanical Behavior in a Soft Dielectric Elastomer Actuator , 2017, IEEE Transactions on Robotics.

[29]  Xia Hong,et al.  A model‐based PID controller for Hammerstein systems using B‐spline neural networks , 2014 .

[30]  Sandipan Mishra,et al.  Iterative learning control for fault-tolerance in multi-phase permanent-magnet machines , 2013, 2013 American Control Conference.

[31]  Xuefang Li,et al.  Precise Speed Tracking Control of a Robotic Fish Via Iterative Learning Control , 2016, IEEE Transactions on Industrial Electronics.

[32]  Mark R. Cutkosky,et al.  Smooth Vertical Surface Climbing With Directional Adhesion , 2008, IEEE Transactions on Robotics.

[33]  Metin Sitti,et al.  Waalbot: An Agile Small-Scale Wall Climbing Robot Utilizing Pressure Sensitive Adhesives , 2006, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[34]  Danilo De Rossi,et al.  Eyeball pseudo-muscular actuators for an android face , 2005, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

[35]  Yuzhe Wang,et al.  Artificial muscles for jaw movements , 2016 .

[36]  Kyu-Jin Cho,et al.  Omegabot : Biomimetic inchworm robot using SMA coil actuator and smart composite microstructures (SCM) , 2009, 2009 IEEE International Conference on Robotics and Biomimetics (ROBIO).

[37]  Tingyu Cheng,et al.  Fast-moving soft electronic fish , 2017, Science Advances.

[38]  Sung-Weon Yeom,et al.  A biomimetic jellyfish robot based on ionic polymer metal composite actuators , 2009 .

[39]  M. Morari,et al.  Internal model control: PID controller design , 1986 .

[40]  Cong Wang,et al.  Robust Iterative Learning Control for Vibration Suppression of Industrial Robot Manipulators , 2018 .

[41]  Jian-Xin Xu,et al.  Iterative learning control design with high-order internal model for nonlinear systems , 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

[42]  Yanju Liu,et al.  Inflated dielectric elastomer actuator for eyeball's movements: fabrication, analysis and experiments , 2008, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

[43]  Choon Chiang Foo,et al.  Untethered soft robot capable of stable locomotion using soft electrostatic actuators , 2018 .

[44]  Z. Suo,et al.  Large deformation and electromechanical instability of a dielectric elastomer tube actuator , 2010 .

[45]  A. Tayebia,et al.  Adaptive iterative learning control for robot manipulators: Experimental results $ , 2003 .

[46]  Jianxin Xu,et al.  Linear and Nonlinear Iterative Learning Control , 2003 .

[47]  Stefan Seelecke,et al.  Modeling, Identification, and Control of a Dielectric Electro-Active Polymer Positioning System , 2015, IEEE Transactions on Control Systems Technology.

[48]  David H. Owens,et al.  Adaptive iterative learning control , 1996 .

[49]  M. Sitti,et al.  Waalbot: An Agile Small-Scale Wall-Climbing Robot Utilizing Dry Elastomer Adhesives , 2007, IEEE/ASME Transactions on Mechatronics.

[50]  Ujjaval Gupta,et al.  A soft robot capable of 2D mobility and self-sensing for obstacle detection and avoidance , 2018 .

[51]  G. Muscato,et al.  The Alicia/sup 3/ climbing robot: a three-module robot for automatic wall inspection , 2006, IEEE Robotics & Automation Magazine.

[52]  Chee-Meng Chew,et al.  A frog-inspired swimming robot based on dielectric elastomer actuators , 2017, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

[53]  Yanjun Shen,et al.  Permanent magnetic system design for the wall-climbing robot , 2005, IEEE International Conference Mechatronics and Automation, 2005.