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无初始条件限制的柔性关节机械手的规定性能有界H控制

Prescribed Performance Bounded-H Control for Flexible-Joint Manipulators Without Initial Condition Restriction.

作者信息

Zhang Ye, Sun Ruibo, Shang Jie

机构信息

Sinopec Yangzi Petrochemical Co., Ltd., Nanjing 210048, China.

School of Electrons and Information Engineering, University of Science and Technology Liaonin, Anshan 114051, China.

出版信息

Sensors (Basel). 2025 Mar 30;25(7):2195. doi: 10.3390/s25072195.

DOI:10.3390/s25072195
PMID:40218709
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11991646/
Abstract

Flexible-joint manipulators have a lightweight nature, compact structure, and high flexibility, making them widely applicable in industrial manufacturing, biomedical instruments, and aerospace fields. However, the inherent flexibility of single-link flexible-joint manipulators (SLFJMs) poses substantial control challenges. Compared to traditional control algorithms, prescribed performance control (PPC) algorithms provide superior transient response and steady-state performance by defining a prescribed performance function. However, existing PPC algorithms are limited to a specific range of system initial states, which reduces the joint manipulator's operational workspace and weakens the robustness of the control algorithm. To address this issue, this study proposes a prescribed performance bounded-H fault-tolerant controller for SLFJMs. By designing an improved tangent-type barrier Lyapunov function (BLF), a prescribed performance controller that is independent of the initial state of the SLFJM is developed. An input control function (ICF) is employed to mitigate the impulse response of the control input, ensuring a smooth transition from zero. Furthermore, the improved tangent-type BLF enables the tracking error to rapidly converge to a small neighborhood of zero. Finally, a stabilization control simulation experiment is conducted; the results validate the effectiveness of the proposed prescribed performance bounded-H controller.

摘要

柔性关节机械手具有重量轻、结构紧凑和高灵活性的特点,使其在工业制造、生物医学仪器和航空航天领域得到广泛应用。然而,单连杆柔性关节机械手(SLFJMs)固有的灵活性带来了重大的控制挑战。与传统控制算法相比,规定性能控制(PPC)算法通过定义规定性能函数提供了卓越的瞬态响应和稳态性能。然而,现有的PPC算法仅限于系统初始状态的特定范围,这减小了关节机械手的操作工作空间并削弱了控制算法的鲁棒性。为了解决这个问题,本研究提出了一种用于SLFJMs的规定性能有界H容错控制器。通过设计一种改进的切线型障碍Lyapunov函数(BLF),开发了一种与SLFJM初始状态无关的规定性能控制器。采用输入控制函数(ICF)来减轻控制输入的脉冲响应,确保从零平稳过渡。此外,改进的切线型BLF使跟踪误差能够快速收敛到零的一个小邻域。最后,进行了稳定控制仿真实验;结果验证了所提出的规定性能有界H控制器的有效性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa42/11991646/4aebc0ff81ed/sensors-25-02195-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa42/11991646/c3c6aff161eb/sensors-25-02195-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa42/11991646/bfbb8af8c685/sensors-25-02195-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa42/11991646/bf8cb8d017ce/sensors-25-02195-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa42/11991646/96e9b07babb8/sensors-25-02195-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa42/11991646/5ed018c87ac6/sensors-25-02195-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa42/11991646/9ac45ff8daaf/sensors-25-02195-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa42/11991646/4aebc0ff81ed/sensors-25-02195-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa42/11991646/c3c6aff161eb/sensors-25-02195-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa42/11991646/9c0841633826/sensors-25-02195-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa42/11991646/60c565675bea/sensors-25-02195-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa42/11991646/078999f689f7/sensors-25-02195-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa42/11991646/bfbb8af8c685/sensors-25-02195-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa42/11991646/bf8cb8d017ce/sensors-25-02195-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa42/11991646/96e9b07babb8/sensors-25-02195-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa42/11991646/5ed018c87ac6/sensors-25-02195-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa42/11991646/9ac45ff8daaf/sensors-25-02195-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa42/11991646/4aebc0ff81ed/sensors-25-02195-g010.jpg

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本文引用的文献

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IEEE Trans Cybern. 2024 Dec;54(12):7469-7478. doi: 10.1109/TCYB.2024.3467386. Epub 2024 Nov 27.
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Dual-Hand Motion Capture by Using Biological Inspiration for Bionic Bimanual Robot Teleoperation.基于生物启发的仿生双臂机器人遥操作双手运动捕捉
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Integrated Design Fabrication and Control of a Bioinspired Multimaterial Soft Robotic Hand.
受生物启发的多材料软机器人手的集成设计、制造与控制
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Adaptive Prescribed Performance Control of A Flexible-Joint Robotic Manipulator With Dynamic Uncertainties.自适应规定性能控制的柔性关节机器人具有动态不确定性。
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Adaptive Neural Network Prescribed Performance Bounded- H Tracking Control for a Class of Stochastic Nonlinear Systems.一类随机非线性系统的自适应神经网络预设性能有界H跟踪控制
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Adaptive Fault-Tolerant Control for Nonlinear Systems With Multiple Sensor Faults and Unknown Control Directions.具有多个传感器故障和未知控制方向的非线性系统的自适应容错控制
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