Non-Fragile Saturation Controller for Fractional-Order Permanent Magnet Synchronous Generator With Fuzzy Quantized Mechanism

IF 3.9 4区计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS

International Journal of Adaptive Control and Signal Processing Pub Date : 2025-03-25 DOI:10.1002/acs.3991

Chendrayan Dineshkumar, Jae Hoon Jeong, Young Hoon Joo

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Abstract

The main objective of this study is to develop a non-fragile saturation controller for a fractional-order (FO) permanent magnet synchronous generator (PMSG) and utilize a fuzzy quantized mechanism. To this end, first, fractional-order control is introduced into the non-linear PMSG model to improve the convergence rate beyond the existing integer-order control techniques. Next, the non-linear PMSG model is converted to linear sub-models using the Takagi-Sugeno (T-S) fuzzy method. Utilizing refined sector conditions, we conduct a theoretical analysis of the Mittag-Leffler (M-L) stabilization for the resultant closed-loop systems. This analysis employs certain inequality techniques applied to the M-L function and FO Lyapunov theory. Moreover, based on the polytopic representation approach, sufficient conditions ensuring M-L stabilization are established by a closed-loop system. Furthermore, we have devised two separate convex optimization approaches to effectively reduce the actuator costs and expand the admissible initial region (AIR). Finally, the method proposed in this study demonstrates the superiority and efficiency of the derived results.

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基于模糊量化机构的分数阶永磁同步发电机非脆弱饱和控制器

本研究的主要目标是开发分数阶永磁同步发电机（PMSG）的非脆弱饱和控制器，并利用模糊量化机制。为此，首先在非线性PMSG模型中引入分数阶控制，以提高现有整阶控制技术的收敛速度；然后，利用Takagi-Sugeno （T-S）模糊方法将非线性PMSG模型转换为线性子模型。利用精细扇区条件，我们对所得到的闭环系统的Mittag-Leffler （M-L）稳定化进行了理论分析。该分析采用了应用于M-L函数和FO Lyapunov理论的某些不等式技术。此外，基于多面体表示方法，建立了闭环系统M-L镇定的充分条件。此外，我们设计了两种独立的凸优化方法，以有效地降低执行器成本并扩大可容许初始区域（AIR）。最后，本文提出的方法验证了所得结果的优越性和有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Adaptive Control and Signal Processing 工程技术-工程：电子与电气

CiteScore

5.30

自引率

16.10%

发文量

163

审稿时长

5 months

期刊介绍： The International Journal of Adaptive Control and Signal Processing is concerned with the design, synthesis and application of estimators or controllers where adaptive features are needed to cope with uncertainties.Papers on signal processing should also have some relevance to adaptive systems. The journal focus is on model based control design approaches rather than heuristic or rule based control design methods. All papers will be expected to include significant novel material. Both the theory and application of adaptive systems and system identification are areas of interest. Papers on applications can include problems in the implementation of algorithms for real time signal processing and control. The stability, convergence, robustness and numerical aspects of adaptive algorithms are also suitable topics. The related subjects of controller tuning, filtering, networks and switching theory are also of interest. Principal areas to be addressed include: Auto-Tuning, Self-Tuning and Model Reference Adaptive Controllers Nonlinear, Robust and Intelligent Adaptive Controllers Linear and Nonlinear Multivariable System Identification and Estimation Identification of Linear Parameter Varying, Distributed and Hybrid Systems Multiple Model Adaptive Control Adaptive Signal processing Theory and Algorithms Adaptation in Multi-Agent Systems Condition Monitoring Systems Fault Detection and Isolation Methods Fault Detection and Isolation Methods Fault-Tolerant Control (system supervision and diagnosis) Learning Systems and Adaptive Modelling Real Time Algorithms for Adaptive Signal Processing and Control Adaptive Signal Processing and Control Applications Adaptive Cloud Architectures and Networking Adaptive Mechanisms for Internet of Things Adaptive Sliding Mode Control.