Secure State Estimation-Based Stabilization of IoT-Enabled Wireless Power Transfer Systems

IF 5.2 1区工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Transactions on Circuits and Systems I: Regular Papers Pub Date : 2024-11-27 DOI:10.1109/TCSI.2024.3503719

Loganathan Ponnarasi;P. B. Pankajavalli;Yongdo Lim;Rathinasamy Sakthivel

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Abstract

This paper concerns the distributed state estimation-based security control issue for Internet-of-Things (IoT)-enabled wireless power transfer (WPT) system subject to interchange attacks. The WPT system is first modeled using a state-space framework, and then the IoT elements including Web-enabled smart sensors are considered to obtain measurements for state estimation and control purpose. Additionally, a Bernoulli distribution-based random variable with known probability is introduced to characterize randomly occurring interchange attacks in output measurements. Using Lyapunov theory and stochastic analysis technique, a set of sufficient conditions is established in terms of linear matrix inequalities for ensuring convergence of state estimation with reliable and consistent power transfer operations within the described WPT system applications. Furthermore, particle swarm optimization algorithm is used to determine the optimal gain of the state estimation scheme for minimizing mean-squared estimation errors. Finally, numerical simulation is given to illustrate the efficiency and usefulness of the presented control approach.

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基于安全状态估计的物联网无线电力传输系统稳定

研究了基于分布式状态估计的物联网无线电力传输系统的安全控制问题。首先使用状态空间框架对WPT系统进行建模，然后考虑包括支持web的智能传感器在内的物联网元素来获取用于状态估计和控制目的的测量值。此外，引入了一个已知概率的基于伯努利分布的随机变量来表征输出测量中随机发生的交换攻击。利用李雅普诺夫理论和随机分析技术，根据线性矩阵不等式建立了一组充分条件，以保证在所描述的WPT系统应用中，状态估计具有可靠和一致的功率传输操作的收敛性。在此基础上，利用粒子群优化算法确定状态估计方案的最优增益，使均方估计误差最小。最后，通过数值仿真验证了所提控制方法的有效性和实用性。

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来源期刊

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.