具有执行器故障和未知控制方向的欧拉-拉格朗日系统的事件触发共享控制

IF 2.7 4区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
Xiaoying Feng, Xiaoyu Zhang
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引用次数: 0

摘要

安全对于人控机械系统的运行至关重要。如果不幸发生事故,操作人员可能会陷入困境。本研究的重点是研究受执行器故障和未知干扰影响的不确定欧拉-拉格朗日系统的自适应事件触发共享控制技术。与现有的共享控制成果不同,本研究考虑的不确定欧拉-拉格朗日系统同时包含未知控制方向和执行器故障,因此更加实用。此外,我们设计的控制器在面对这些挑战时表现出更强的稳定性。为了消除未知控制方向的影响,我们引入了一个采用 Nussbaum 函数的状态反馈控制器。此外,我们设计的事件触发机制还能降低系统的网络通信资源利用率。我们共享控制策略的实施确保了系统输出对目标轨迹的渐近跟踪,同时在确定的安全区域内保持稳定运行。最后,我们介绍了一个模拟示例,以验证我们提出的方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Event‐triggered shared control for Euler–Lagrange systems with actuator fault and unknown control direction
Security is of paramount importance in the operation of human‐controlled mechanical systems. In the unfortunate event of an accident, the operator may find themselves in a state of distress. This research focuses on the study of adaptive event‐triggered shared control techniques for uncertain Euler–Lagrange systems afflicted by actuator faults and the presence of unknown disturbances. Unlike existing results on shared control, the uncertain Euler–Lagrange system considered in this study contains both an unknown control direction and actuator faults, making it more practical. Furthermore, the controller we have designed demonstrates enhanced stability in the face of these challenges. To counteract the impact of unknown control direction, we introduce a state feedback controller employing Nussbaum functions. Additionally, the devised event‐triggered mechanism serves to reduce the system's network communication resource utilization. The implementation of our shared control strategy ensures asymptotic tracking of target trajectories by the system's outputs while maintaining consistent operation within a defined safe region. Finally, a simulated example is presented to validate the effectiveness of our proposed methodologies.
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来源期刊
Asian Journal of Control
Asian Journal of Control 工程技术-自动化与控制系统
CiteScore
4.80
自引率
25.00%
发文量
253
审稿时长
7.2 months
期刊介绍: The Asian Journal of Control, an Asian Control Association (ACA) and Chinese Automatic Control Society (CACS) affiliated journal, is the first international journal originating from the Asia Pacific region. The Asian Journal of Control publishes papers on original theoretical and practical research and developments in the areas of control, involving all facets of control theory and its application. Published six times a year, the Journal aims to be a key platform for control communities throughout the world. The Journal provides a forum where control researchers and practitioners can exchange knowledge and experiences on the latest advances in the control areas, and plays an educational role for students and experienced researchers in other disciplines interested in this continually growing field. The scope of the journal is extensive. Topics include: The theory and design of control systems and components, encompassing: Robust and distributed control using geometric, optimal, stochastic and nonlinear methods Game theory and state estimation Adaptive control, including neural networks, learning, parameter estimation and system fault detection Artificial intelligence, fuzzy and expert systems Hierarchical and man-machine systems All parts of systems engineering which consider the reliability of components and systems Emerging application areas, such as: Robotics Mechatronics Computers for computer-aided design, manufacturing, and control of various industrial processes Space vehicles and aircraft, ships, and traffic Biomedical systems National economies Power systems Agriculture Natural resources.
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