中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Adaptive neural controller with predefined boundary constraints for 3D printed cable-driven soft actuators

文献类型:期刊论文

作者C. Xia, Z. Xu, H. Sai, H. Li and K. Wang
刊名Smart Materials and Structures
出版日期2023
卷号32期号:6
ISSN号09641726
DOI10.1088/1361-665X/acd157
英文摘要It is difficult to build dynamic models for 3D-printed soft actuators because of their material and structural flexibility and the complex intrinsic and extrinsic interactions encountered in human-centric or complex non-structural environments. Soft actuators require the control error during motion to be limited. However, existing control methods with predefined boundary constraints are designed for rigid actuators and are not directly applicable to soft actuators. In this paper, an adaptive neural controller based on a quasi-static model is proposed. The quasi-static model of the soft actuator is used to determine how the viscoelasticity of the flexible material influences the neural network, enabling the neural network to identify a better fit to the dynamic model of the soft actuator. Finally, experimental results verify that the proposed controller constrains the tracking error of the soft actuator to within the predefined boundary. © 2023 IOP Publishing Ltd.
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源URL[http://ir.ciomp.ac.cn/handle/181722/68037]  
专题中国科学院长春光学精密机械与物理研究所
推荐引用方式
GB/T 7714
C. Xia, Z. Xu, H. Sai, H. Li and K. Wang. Adaptive neural controller with predefined boundary constraints for 3D printed cable-driven soft actuators[J]. Smart Materials and Structures,2023,32(6).
APA C. Xia, Z. Xu, H. Sai, H. Li and K. Wang.(2023).Adaptive neural controller with predefined boundary constraints for 3D printed cable-driven soft actuators.Smart Materials and Structures,32(6).
MLA C. Xia, Z. Xu, H. Sai, H. Li and K. Wang."Adaptive neural controller with predefined boundary constraints for 3D printed cable-driven soft actuators".Smart Materials and Structures 32.6(2023).

入库方式: OAI收割

来源:长春光学精密机械与物理研究所

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