Embedded Magnetic Sensing for Feedback Control of Soft HASEL Actuators

被引:6
|
作者
Sundaram, Vani [1 ]
Ly, Khoi [2 ]
Johnson, Brian K. [1 ]
Naris, Mantas [1 ]
Anderson, Maxwell P. [1 ]
Humbert, James Sean [1 ]
Correll, Nikolaus [3 ,4 ]
Rentschler, Mark [1 ]
机构
[1] Univ Colorado, Dept Mech Engn, Boulder, CO 80309 USA
[2] Cornell Univ, Sibley Sch Mech & Aerosp Engn, Ithaca, NY 14853 USA
[3] Univ Colorado, Dept Comp Sci, Boulder, CO 80309 USA
[4] Univ Colorado, Mat Sci & Engn Program, Boulder, CO 80309 USA
基金
美国国家科学基金会;
关键词
Magnetometers; Actuators; Robot sensing systems; Magnetic resonance imaging; Magnetosphere; Soft magnetic materials; Sensors; Electrohydraulic actuators; feedback control; magnetic-based sensors; soft robotics; soft sensors; SENSORS;
D O I
10.1109/TRO.2022.3200164
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
The need to create more viable soft sensors is increasing in tandem with the growing interest in soft robots. Several sensing methods, like capacitive stretch sensing and intrinsic capacitive self-sensing, have proven to be useful when controlling soft electro-hydraulic actuators, but are still problematic. This is due to challenges around high-voltage electronic interference or the inability to accurately sense the actuator at higher actuation frequencies. These issues are compounded when trying to sense and control the movement of a multiactuator system. To address these shortcomings, we describe a two-part magnetic sensing mechanism to measure the changes in displacement of an electro-hydraulic (HASEL) actuator. Our magnetic sensing mechanism can achieve high accuracy and precision for the HASEL actuator displacement range, and accurately tracks motion at actuation frequencies up to 30 Hz, while being robust to changes in ambient temperature and relative humidity. The high accuracy of the magnetic sensing mechanism is also further emphasized in the gripper demonstration. Using this sensing mechanism, we can detect submillimeter difference in the diameters of three tomatoes. Finally, we successfully perform closed-loop control of one folded HASEL actuator using the sensor, which is then scaled into a deformable tilting platform of six units (one HASEL actuator and one sensor) that control a desired end effector position in 3D space. This work demonstrates the first instance of sensing electro-hydraulic deformation using a magnetic sensing mechanism. The ability to more accurately and precisely sense and control HASEL actuators and similar soft actuators is necessary to improve the abilities of soft, robotic platforms.
引用
收藏
页码:808 / 822
页数:15
相关论文
共 50 条
  • [31] Passive and active acoustic sensing for soft pneumatic actuators
    Wall, Vincent
    Zoeller, Gabriel
    Brock, Oliver
    INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH, 2023, 42 (03): : 108 - 122
  • [32] Design and Fabrication of a Soft Robotic Hand With Embedded Actuators and Sensors
    She, Yu
    Li, Chang
    Cleary, Jonathon
    Su, Hai-Jun
    JOURNAL OF MECHANISMS AND ROBOTICS-TRANSACTIONS OF THE ASME, 2015, 7 (02):
  • [33] Innovative Design of Embedded Pressure and Position Sensors for Soft Actuators
    Yang, Yang
    Chen, Yonghua
    IEEE ROBOTICS AND AUTOMATION LETTERS, 2018, 3 (02): : 656 - 663
  • [34] Embedded Laser-Cut Constraints for Elastomeric Soft Actuators
    Winston, Crystal E.
    Yoshida, Kyle T.
    Williams, Sophia R.
    Okamura, Allison M.
    2021 IEEE WORLD HAPTICS CONFERENCE (WHC), 2021, : 863 - 863
  • [35] Enhancing the Performance of Soft Actuators with Magnetic Patterns
    Hermann, Svenja
    Butaud, Pauline
    Manceau, Jean-Francois
    Chevallier, Gael
    Espanet, Christophe
    ADVANCED MATERIALS TECHNOLOGIES, 2024, 9 (14):
  • [36] Towards Sensorless Soft Robotics: Self-Sensing Stiffness Control of Dielectric Elastomer Actuators
    Rizzello, Gianluca
    Serafino, Pietro
    Naso, David
    Seelecke, Stefan
    IEEE TRANSACTIONS ON ROBOTICS, 2020, 36 (01) : 174 - 188
  • [38] Shape control using embedded piezoelectric actuators
    Wallace, JB
    Pettit, BE
    Prasad, SE
    Stenne, E
    Kalaycioglu, S
    Giray, M
    ISAF '96 - PROCEEDINGS OF THE TENTH IEEE INTERNATIONAL SYMPOSIUM ON APPLICATIONS OF FERROELECTRICS, VOLS 1 AND 2, 1996, : 919 - 922
  • [39] Implementation of Virtual Feedback Control of Industrial Processes via Soft Sensing Technique
    Geetha Mani
    Journal of Electrical Engineering & Technology, 2020, 15 : 353 - 358
  • [40] Control of Conducting Polymer Actuators without Feedback: Simulated Feedback Control Approach
    Xiang, Xingcan
    Alici, Gursel
    Li, Weihua
    2013 IEEE/ASME INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT MECHATRONICS (AIM): MECHATRONICS FOR HUMAN WELLBEING, 2013, : 900 - 905