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IF 10.7 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS Pub Date : 2025-01-01
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引用次数: 0
IF 10.7 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS Pub Date : 2025-01-01
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引用次数: 0
Fractional-order PID controllers and applications: A comprehensive survey 分数阶PID控制器及其应用综述
IF 10.7 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS Pub Date : 2025-01-01 DOI: 10.1016/j.arcontrol.2025.101013
T.K. Bashishtha , V.P. Singh , Umesh Kumar Yadav , Umesh Kumar Sahu
The scientific world has recently witnessed a rapid growth in the number of articles, addressing the importance of fractional-order controllers with a primary focus on fractional-order proportional integral derivative controller. The purpose of this article is to provide a detailed analysis of fractional-order proportional integral derivative controller, including architecture, classification, control design, toolboxes, and applications. Further, this article also presents an extensive overview on fractional-order controllers, their tuning methods, and the role of multiple classical and artificial intelligence-based algorithms in calculating optimal controller gains. The main focus of this article is to analyze various single and multi-objective functions adopted for controller tuning in various applications. In addition to this, the presented work also provides a comprehend comparative analysis through a rigorous literature survey of fractional-order proportional integral derivative controllers exploited in power system applications, electric drive applications, power electronics applications, biomedical and health science applications, chemical and process industry applications, agricultural applications, etc., in the support of superiority of fractional-order proportional integral derivative controller over conventional proportional integral derivative controller.
科学界最近见证了文章数量的快速增长,讨论分数阶控制器的重要性,主要关注分数阶比例积分导数控制器。本文的目的是详细分析分数阶比例积分导数控制器,包括体系结构、分类、控制设计、工具箱和应用。此外,本文还介绍了分数阶控制器的广泛概述,它们的调谐方法,以及多种经典算法和基于人工智能的算法在计算最优控制器增益中的作用。本文的主要重点是分析各种应用中用于控制器整定的各种单目标和多目标函数。除此之外,本文还通过对分数阶比例积分导数控制器在电力系统应用、电力驱动应用、电力电子应用、生物医学和健康科学应用、化学和加工工业应用、农业应用等方面的严格文献调查,提供了一个全面的比较分析。在分数阶比例积分导数控制器优于传统比例积分导数控制器的支持下。
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引用次数: 0
Observer-based error correction in finite memory approaches for pseudo state estimation of fractional dynamic models 分数阶动态模型伪状态估计的有限记忆观测器纠错方法
IF 10.7 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS Pub Date : 2025-01-01 DOI: 10.1016/j.arcontrol.2025.101018
Andreas Rauh, Marit Lahme
Fractional system models have gained in importance during recent years to account for non-standard dynamics that are characterized by long-term memory effects. An important field of application is the modeling, simulation, and control design for electrochemical energy converters such as batteries and fuel cells. Although such models are generally capable to capture (infinite horizon) memory properties, the numerical evaluation may be complicated by the same effect leading to a continuous increase in memory and computing time if no appropriate countermeasures are taken. This is especially true in (pseudo) state estimation procedures in which a periodic integrator reset takes place. Such integrator resets become necessary as a countermeasure against the increase of memory requirements and computing times. Bounding both is necessary to meet the strict requirements of real-time applicability. Additionally, such resets occur when predictor–corrector state estimators are employed for systems with bounded uncertainty. This article provides a thorough review of observer-based methods for the quantification and enhancement of the aforementioned truncation errors. Exemplary results are shown for the pseudo state estimation of a simplified fractional model of charging and discharging of lithium-ion batteries.
近年来,分数系统模型在解释以长期记忆效应为特征的非标准动力学方面变得越来越重要。一个重要的应用领域是电池和燃料电池等电化学能量转换器的建模、仿真和控制设计。虽然这种模型通常能够捕获(无限视界)记忆属性,但如果不采取适当的对策,则可能由于相同的效应导致内存和计算时间的持续增加而使数值评估复杂化。在发生周期性积分器重置的(伪)状态估计过程中尤其如此。这样的积分器重置作为对抗内存需求和计算时间增加的对策是必要的。为满足实时性的严格要求,将两者绑定是必要的。此外,当对具有有限不确定性的系统使用预测校正状态估计器时,会发生这种重置。本文全面回顾了基于观测器的方法,用于量化和增强上述截断误差。给出了锂离子电池充放电简化分数阶模型的伪状态估计示例性结果。
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引用次数: 0
Control and optimization techniques for load frequency control of multi-area Cyber–Physical Power Systems: A literature review 多区域信息物理电力系统负荷频率控制与优化技术:文献综述
IF 7.3 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS Pub Date : 2025-01-01 DOI: 10.1016/j.arcontrol.2025.101009
Bo Hu , Jianning Cai , Zuoxia Xing , Pengfei Zhang , Dongrui Wang , Komla Agbenyo Folly
In Cyber–Physical Power Systems (CPPSs), Load Frequency Control (LFC) needs an efficient information system and high performance strategies to ensure power system frequency stability. This paper focuses on these two aspects, comprehensively reviewing the challenges and research progress of LFC in multi-area CPPSs from three dimensions: modeling, control strategies, and mitigation methods of some information system abnormal conditions. Firstly, considering the high penetration of renewable energy and open network architectures, we review various LFC models applicable to CPPSs from physical dynamics and information layer features, providing a solid theoretical basis for future research. Secondly, we classify and summarize LFC control strategies in CPPSs, covering classical, modern control strategies, optimization technologies and analyze their strengths and limitations in LFC. Finally, we analyze information system challenges like cyber attacks, communication bandwidth limits and delays, and propose corresponding countermeasures. In conclusion, this paper delves into LFC issues in CPPSs, focusing on challenges such as communication bandwidth limitations, delays and cyber attacks. It is hoped to provide a powerful framework and valuable research direction for future work in the field.
在信息物理电力系统(CPPSs)中,负荷频率控制(LFC)需要一个高效的信息系统和高性能的策略来保证电力系统的频率稳定。本文围绕这两个方面,从部分信息系统异常情况的建模、控制策略和缓解方法三个维度,全面综述了多区域CPPSs中LFC面临的挑战和研究进展。首先,考虑到可再生能源的高渗透率和开放的网络架构,我们从物理动力学和信息层特征方面综述了适用于cpps的各种LFC模型,为未来的研究提供坚实的理论基础。其次,对cpps中的LFC控制策略进行了分类和总结,包括经典控制策略、现代控制策略和优化技术,并分析了它们在LFC中的优势和局限性。最后,分析了信息系统面临的网络攻击、通信带宽限制和时延等挑战,并提出了相应的对策。综上所述,本文深入研究了CPPSs中的LFC问题,重点关注通信带宽限制、延迟和网络攻击等挑战。希望为今后的工作提供一个强有力的框架和有价值的研究方向。
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引用次数: 0
IF 10.7 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS Pub Date : 2025-01-01
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引用次数: 0
IF 10.7 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS Pub Date : 2025-01-01
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引用次数: 0
IF 10.7 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS Pub Date : 2025-01-01
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引用次数: 0
IF 10.7 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS Pub Date : 2025-01-01
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引用次数: 0
IF 10.7 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS Pub Date : 2025-01-01
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引用次数: 0
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Annual Reviews in Control
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