具有通信延迟的网络型可重入制造系统的鲁棒模糊控制

IF 5.2 1区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Yige Guo;Qing Gao;Maciej Ogorzałek;Jianbin Qiu;Jinhu Lü
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引用次数: 0

摘要

研究了一类网络型可再入制造系统的鲁棒模糊控制问题。首先用非线性双曲型偏微分方程(PDE)模型来表示具有外部干扰和时变通信延迟的RMSs。然后将非线性模型在T-S模糊模型的框架中重新表述。针对时滞PDE系统,提出了一个新的Lyapunov-Krasovskii型稳定性定理,将经典Lyapunov-Krasovskii框架推广到时滞PDE系统。利用所提出的稳定性定理,建立了基于lmi的条件,用于外部扰动和时变时滞下闭环RMSs的稳定性分析和控制综合,证明了在环境扰动下生产产量与市场需求的有效一致性。最后通过仿真验证了所提出的控制方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Robust Fuzzy Control of Network-Type Re-Entrant Manufacturing Systems With Communication Delays
The robust fuzzy control problem for a category of network-type re-entrant manufacturing systems (RMSs) is explored in this paper. A continuum model is first employed to represent the RMSs with external disturbances and time-varying communication delays in terms of a nonlinear hyperbolic partial differential equation (PDE) model. The nonlinear model is then reformulated in the framework of a T-S fuzzy model. A novel Lyapunov-Krasovskii-type stability theorem is proposed for the concerned PDEs with delays, extending the classical Lyapunov-Krasovskii framework to delayed PDE systems. Using the proposed stability theorem, LMI-based conditions are developed for stability analysis and control synthesis of the closed-loop RMSs under external disturbances and time-varying delays, which demonstrates effective alignment of production output with market demand despite environmental perturbations. At last the results of a simulation validate the developed control approach.
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来源期刊
IEEE Transactions on Circuits and Systems I: Regular Papers
IEEE Transactions on Circuits and Systems I: Regular Papers 工程技术-工程:电子与电气
CiteScore
9.80
自引率
11.80%
发文量
441
审稿时长
2 months
期刊介绍: TCAS I publishes regular papers in the field specified by the theory, analysis, design, and practical implementations of circuits, and the application of circuit techniques to systems and to signal processing. Included is the whole spectrum from basic scientific theory to industrial applications. The field of interest covered includes: - Circuits: Analog, Digital and Mixed Signal Circuits and Systems - Nonlinear Circuits and Systems, Integrated Sensors, MEMS and Systems on Chip, Nanoscale Circuits and Systems, Optoelectronic - Circuits and Systems, Power Electronics and Systems - Software for Analog-and-Logic Circuits and Systems - Control aspects of Circuits and Systems.
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