Model-Based Robust Tracking Control Without Observers for Soft Bending Actuators

被引:16
|
作者
Cao, Guizhou [1 ]
Huo, Benyan [1 ]
Yang, Lei [1 ]
Zhang, Fangfang [1 ]
Liu, Yanhong [1 ]
Bian, Guibin [1 ,2 ]
机构
[1] Zhengzhou Univ, Sch Elect Engn, Zhengzhou 450001, Peoples R China
[2] Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
关键词
Actuators; Observers; Bending; Uncertainty; Closed loop systems; Presence network agents; Mathematical model; Robust control; soft actuator; without observer; model-based control; JOINT ROBOTS; DESIGN; CURVATURE; SYSTEMS;
D O I
10.1109/LRA.2021.3071952
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
It is of great importance to improve the performance of soft bending actuators with simpler control laws. Considering that the velocity information of soft actuators cannot be measured by conventional sensors due to a contradiction between the soft body and the rigid state, this letter addresses a robust tracking controller without velocity observers to improve the tracking accuracy and simplify the control laws. First, a generalized dynamic model and related system properties are developed for the construction of controllers. Second, a novel robust tracking controller combined with an auxiliary state is utilized for soft bending actuators in the presence of system uncertainties. A key feature of the proposed controller is that it does not incorporate any information about velocities and observers. Finally, corresponding comparative simulations and experiments are performed to verify the effectiveness of the proposed controller.
引用
收藏
页码:5175 / 5182
页数:8
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