The design, hysteresis modeling and control of a novel SMA-fishing-line actuator
The design, hysteresis modeling and control of a novel SMA-fishing-line actuator
复制标题
新型 SMA 钓鱼线执行器的设计、迟滞建模和控制
DOI:
10.1088/1361-665x/aa5b03
复制
发表时间:
2017-02
影响因子:
4.1
通讯作者:
Lina Hao
中科院分区:
文献类型:
--
作者:
Chaoqun Xiang;Hui Yang;Zhiyong Sun;Bangcan Xue;Lina Hao
Fishing line can be combined with shape memory alloy (SMA) to form novel artificial muscle actuators which have low cost, are lightweight and soft. They can be applied in bionic, wearable and rehabilitation robots, and can reduce system weight and cost, increase power-to-weight ratio and offer safer physical human-robot interaction. However, these actuators possess several disadvantages, for example fishing line based actuators possess low strength and are complex to drive, and SMA possesses a low percentage contraction and has high hysteresis. This paper presents a novel artificial actuator (known as an SMA-fishing-line) made of fishing line and SMA twisted then coiled together, which can be driven directly by an electrical voltage. Its output force can reach 2.65 N at 7.4 V drive voltage, and the percentage contraction at 4 V driven voltage with a 3 N load is 7.53%. An antagonistic bionic joint driven by the novel SMA-fishing-line actuators is presented, and based on an extended unparallel Prandtl-Ishlinskii (EUPI) model, its hysteresis behavior is established, and the error ratio of the EUPI model is determined to be 6.3%. A Joule heat model of the SMA-fishing-line is also presented, and the maximum error of the established model is 0.510 mm. Based on this accurate hysteresis model, a composite PID controller consisting of PID and an integral inverse (I-I) compensator is proposed and its performance is compared with a traditional PID controller through simulations and experimentation. These results show that the composite PID controller possesses higher control precision than basic PID, and is feasible for implementation in an SMA-fishing-line driven antagonistic bionic joint.
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影响因子:
4.8
作者:
Yangmin Li;Qingsong Xu
通讯作者:
Yangmin Li;Qingsong Xu
DOI:
10.1117/12.2219641
发表时间:
2016-04
期刊:
--
影响因子:
--
作者:
Lianjun Wu;M. J. de Andrade;Tarang Brahme;Yonas T. Tadesse;R. Baughman
通讯作者:
Lianjun Wu;M. J. de Andrade;Tarang Brahme;Yonas T. Tadesse;R. Baughman
影响因子:
3.4
作者:
Kuhnen, K
通讯作者:
Kuhnen, K
影响因子:
4.6
作者:
Pengfei Zhang;Guoqiang Li
通讯作者:
Pengfei Zhang;Guoqiang Li
DOI:
10.1109/tmech.2013.2250989
发表时间:
2014-04
期刊:
IEEE/ASME Transactions on Mechatronics
影响因子:
--
作者:
Jun Zhang;E. Merced;N. Sepúlveda;Xiaobo Tan
通讯作者:
Jun Zhang;E. Merced;N. Sepúlveda;Xiaobo Tan