Robust Sliding Mode Control for a Class of Gantry Crane System With Time-Varying Disturbances

IF 3.2 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
Jiayang Zhang, Wei Wu
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引用次数: 0

Abstract

This paper proposes a sliding mode controller (SMC) to address the control problem of the gantry crane system affected by the time-varying boundary disturbances. Through the application of Lagrangian-Hamiltonian mechanics, the gantry crane system is modeled as a set of partial differential equations. Utilizing operator semigroup theory, it demonstrates that a closed-loop system is well-posed. By employing Lyapunov functional theory and extended Krasovskii-LaSalles' invariance principle, the asymptotic stability is confirmed. To demonstrate the effectiveness and comparative advantages of the proposed control method, numerical contrast simulations are conducted. Furthermore, comparative experiments are conducted to validate the designed controller.

一类具有时变扰动的龙门起重机系统的鲁棒滑模控制
针对龙门起重机系统受时变边界扰动影响的控制问题,提出了滑模控制器。应用拉格朗日-哈密顿力学,将龙门起重机系统建模为一组偏微分方程。利用算子半群理论,证明了闭环系统是适定的。利用Lyapunov泛函理论和推广的Krasovskii-LaSalles不变性原理,证明了系统的渐近稳定性。为了证明所提出的控制方法的有效性和相对优势,进行了数值对比仿真。通过对比实验验证了所设计控制器的有效性。
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来源期刊
International Journal of Robust and Nonlinear Control
International Journal of Robust and Nonlinear Control 工程技术-工程:电子与电气
CiteScore
6.70
自引率
20.50%
发文量
505
审稿时长
2.7 months
期刊介绍: Papers that do not include an element of robust or nonlinear control and estimation theory will not be considered by the journal, and all papers will be expected to include significant novel content. The focus of the journal is on model based control design approaches rather than heuristic or rule based methods. Papers on neural networks will have to be of exceptional novelty to be considered for the journal.
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