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用于二维起重机系统(包括负载起升-下降)的基于观测器的比例延迟控制器,用于负载摆动衰减

Observer-based proportional-retarded controller for payload swing attenuation of 2D-crane systems including load hoisting-lowering.

作者信息

Villafuerte-Segura Raúl, Miranda-Colorado Roger, Rodriguez-Arellano Jesus A, Aguilar Luis T

机构信息

Centro de Investigación en Tecnologías de Información y Sistemas, Universidad Autónoma del Estado de Hidalgo, Pachuca-Hidalgo, CP 42184, Mexico.

CONAHCYT-Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Cinvestav, Unidad Zacatenco, Departamento de Control Automático, Av. Instituto Politécnico Nacional No. 2508, Col. San Pedro Zacatenco, Mexico City, 07360, Mexico.

出版信息

ISA Trans. 2024 Dec;155:472-488. doi: 10.1016/j.isatra.2024.09.022. Epub 2024 Sep 24.

Abstract

Crane systems are essential systems utilized in industry and for research. Nevertheless, they are always affected by endogenous and exogenous disturbances, which may generate undesirable payload oscillations, compromising people's security and the system itself. Thus, to deal with these issues and control these mechatronic systems efficiently, this manuscript develops a novel robust observer-based proportional-retarded controller for perturbed two-dimensional cranes, considering variation in the rope length. This novel scheme makes the trolley follow a desired reference signal while reducing the payload variations. The controller structure allows for compensating disturbances, while a new control approach introduces artificial delays that stabilize the closed-loop system and attain the desired control objective. A formal theoretical analysis demonstrates the validity of the new proposal. Then, experimental results show the outstanding performance of the proposed control scheme and its superior performance against other methodologies from the literature.

摘要

起重机系统是工业和研究中使用的关键系统。然而,它们总是受到内外部干扰的影响,这可能会产生不良的负载振荡,危及人员安全和系统本身。因此,为了解决这些问题并有效控制这些机电系统,本文针对受干扰的二维起重机,考虑绳索长度变化,开发了一种基于新型鲁棒观测器的比例-滞后控制器。这种新颖的方案使小车跟踪期望的参考信号,同时减少负载变化。控制器结构允许补偿干扰,而一种新的控制方法引入了人为延迟,以稳定闭环系统并实现期望的控制目标。正式的理论分析证明了新方案的有效性。然后,实验结果表明了所提出控制方案的出色性能及其相对于文献中其他方法的优越性能。

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