Observer-based Adaptive Robust Control of Soft Pneumatic Network Actuators

被引:4
作者
Cao, Guizhou [1 ,2 ]
Liu, Yanhong [2 ]
Zhu, Zhiwei [2 ]
机构
[1] State Grid Henan Elect Power Res Inst, Zhengzhou 450052, Peoples R China
[2] Zhengzhou Univ, Sch Elect Engn, Zhengzhou 450001, Peoples R China
基金
中国国家自然科学基金;
关键词
Adaptive robust control; disturbance observer; sliding mode control; soft pneumatic network actuator; velocity estimation; DESIGN; MANIPULATORS; ROBOTS;
D O I
10.1007/s12555-020-0988-2
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Fabricated by elastomer materials, soft pneumatic network actuators (PNAs) not only enable versatile applications but also bring challenges to the high-performance control. This study presents new observer-based adaptive robust controllers for PNAs subjected to system uncertainties and unavailable states. First, a sliding patch-based observer and an observer-based controller are addressed for PNAs with known upper bounds, and stability of closed-looped systems is proved by the Lyapunov method. Second, a novel disturbance observer is proposed for the case of prior unknown bounds of uncertainties, and the stability of the closed-looped system controlled by an adaptive robust controller is also analyzed by the Lyapunov method. Finally, the effectiveness of the proposed controllers is verified by simulations and experiments.
引用
收藏
页码:1695 / 1705
页数:11
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