Zhao Shun, Lu Xuewei, Wang Kunyang, Zhao Di, Wang Xu, Ren Lei, Ren Luquan
Key Laboratory of Bionic Engineering, Ministry of Education, Jilin University, Changchun 130025, China.
Weihai Institute for Bionics, Jilin University, Weihai 264402, China.
Biomimetics (Basel). 2023 May 25;8(2):221. doi: 10.3390/biomimetics8020221.
Similar to biological muscles in nature, artificial muscles have unique advantages for driving bionic robots. However, there is still a large gap between the performance of existing artificial muscles and biological muscles. Twisted polymer actuators (TPAs) convert rotary motion from torsional to linear motion. TPAs are known for their high energy efficiency and large linear strain and stress outputs. A simple, lightweight, low-cost, self-sensing robot powered using a TPA and cooled using a thermoelectric cooler (TEC) was proposed in this study. Because TPA burns easily at high temperatures, traditional soft robots driven by TPAs have low movement frequencies. In this study, a temperature sensor and TEC were combined to develop a closed-loop temperature control system to ensure that the internal temperature of the robot was 5 °C to cool the TPAs quickly. The robot could move at a frequency of 1 Hz. Moreover, a self-sensing soft robot was proposed based on the TPA contraction length and resistance. When the motion frequency was 0.01 Hz, the TPA had good self-sensing ability and the root-mean-square error of the angle of the soft robot was less than 3.89% of the measurement amplitude. This study not only proposed a new cooling method for improving the motion frequency of soft robots but also verified the autokinetic performance of the TPAs.
与自然界中的生物肌肉类似,人造肌肉在驱动仿生机器人方面具有独特优势。然而,现有人造肌肉的性能与生物肌肉之间仍存在较大差距。扭曲聚合物致动器(TPA)将旋转运动从扭转转换为线性运动。TPA以其高能效以及大的线性应变和应力输出而闻名。本研究提出了一种使用TPA供电并使用热电冷却器(TEC)冷却的简单、轻便、低成本的自感知机器人。由于TPA在高温下容易燃烧,由TPA驱动的传统软机器人运动频率较低。在本研究中,将温度传感器和TEC相结合,开发了一种闭环温度控制系统,以确保机器人内部温度为5°C,从而快速冷却TPA。该机器人能够以1Hz的频率移动。此外,基于TPA的收缩长度和电阻提出了一种自感知软机器人。当运动频率为0.01Hz时,TPA具有良好的自感知能力,软机器人角度的均方根误差小于测量幅度的3.89%。本研究不仅提出了一种提高软机器人运动频率的新冷却方法,还验证了TPA的自动运动性能。