Robust Tracking Control for Uncertain Micro-Hand Actuator with Dead-Zone and Hysteresis

This paper investigates the problem of uncertain Micro manipulation with dead-zone and uncertain backlash models based on robust right coprime factorization (RRCF). Firstly, the conventional dead-zone model and common backlash model existing in soft robotic arms are introduced, along with the model of inflatable rubber tube actuators. Secondly, a robust controller is designed to ensure the system's stability. Thirdly, a combination of RRCF-based approach and integral-sliding mode approach is employed for tracking, significantly reducing the time and improving the tracking performance. Finally, the performance and feasibility of this method are tested through simulation.

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Publication Details

Published
2024-11-01
DOI
https://doi.org/10.1109/cac63892.2024.10865654
Primary Topic
Piezoelectric Actuators and Control
Type
article
Field-Weighted Citation Impact
0.00

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article

Robust Tracking Control for Uncertain Micro-Hand Actuator with Dead-Zone and Hysteresis

Ni Bu, Wenhao Wu, Jiaqi Zhao
Piezoelectric Actuators and Control
article

Robust Tracking Control for Uncertain Micro-Hand Actuator with Dead-Zone and Hysteresis

Ni Bu, Wenhao Wu, Jiaqi Zhao
article en

Abstract

This paper investigates the problem of uncertain Micro manipulation with dead-zone and uncertain backlash models based on robust right coprime factorization (RRCF). Firstly, the conventional dead-zone model and common backlash model existing in soft robotic arms are introduced, along with the model of inflatable rubber tube actuators. Secondly, a robust controller is designed to ensure the system's stability. Thirdly, a combination of RRCF-based approach and integral-sliding mode approach is employed for tracking, significantly reducing the time and improving the tracking performance. Finally, the performance and feasibility of this method are tested through simulation.

Qingdao University of Science and Technology (CN)
National Natural Science Foundation of China, Natural Science Foundation of Shandong Province
Openalex Percentile: Top 67%
Piezoelectric Actuators and Control
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