ISA transactions最新文献_第10页

Dynamic event-triggered adaptive control for electro-hydraulic servomechanism. 电液伺服机构的动态事件触发自适应控制。

ISA transactions Pub Date : 2025-05-23 DOI: 10.1016/j.isatra.2025.05.027

Chao Shen, Jianxin Zhu

引用次数: 0

Motor fault diagnosis method based on spiking convolutional neural network with multi-scale decomposition local features. 基于多尺度分解局部特征的脉冲卷积神经网络的电机故障诊断方法。

ISA transactions Pub Date : 2025-05-23 DOI: 10.1016/j.isatra.2025.05.035

Gongping Wu, Zhiwen Huang, Zhuo Long, Fengqin Huang, Ming-Hao Wang, Xiaofei Zhang

{"title":"Motor fault diagnosis method based on spiking convolutional neural network with multi-scale decomposition local features.","authors":"Gongping Wu, Zhiwen Huang, Zhuo Long, Fengqin Huang, Ming-Hao Wang, Xiaofei Zhang","doi":"10.1016/j.isatra.2025.05.035","DOIUrl":"https://doi.org/10.1016/j.isatra.2025.05.035","url":null,"abstract":"Motor fault diagnosis has been widely focused on various manufacturing systems. Traditional neural networks have limitations in extracting temporal features from data. This paper proposes a motor fault diagnosis method based on spiking convolutional neural network with multi-scale decomposition local features. This method extracts the local features of the raw motor fault signals at different scales (frequency and time) using Discrete Wavelet Transform (DWT), capturing detailed information from various frequency bands, with high-frequency instantaneous changes and low-frequency steady trends. Then, Gaussian population encoding features are used to generate time spikes, enhancing the accuracy and optimization ability of feature representation, to avoid local optima and improve the model's generalization performance. To further improve the performance of the network, Spiking Convolutional Neural Network (SCNN) is combined with Batch Normalization Through Time (BNTT). BNTT performs batch normalization at the temporal level, effectively enhancing the training stability of the neural network, reducing issues like vanishing or exploding gradients, and accelerating the convergence process. In addition, the surrogate gradient method is used to overcome the backpropagation problem in spiking neural networks, allowing the temporal neural network to be trained smoothly. Finally, the experiments and comparisons are conducted by using the Induction Motor Data Sets (IMDS) and Case Western Reserve University (CWRU) datasets. The proposed method can achieve test accuracy of 99.49 % and 96.31 % on IMDS and CWRU respectively. The results show that this method offers high test accuracy and low computational cost.","PeriodicalId":94059,"journal":{"name":"ISA transactions","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144217950","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Boundedness theorems of fractional-order impulsive delayed systems and its application to complex networks. 分数阶脉冲延迟系统的有界性定理及其在复杂网络中的应用。

ISA transactions Pub Date : 2025-05-23 DOI: 10.1016/j.isatra.2025.05.023

Baizeng Bao, Hongxiao Hu, Liguang Xu

引用次数: 0

Robust data driven control in frequency domain: A model-free approach. 频域鲁棒数据驱动控制：一种无模型方法。

ISA transactions Pub Date : 2025-05-23 DOI: 10.1016/j.isatra.2025.05.033

Seyed-Masoud Tabibian, Mohammad Ataei, Hamid-Reza Koofigar

{"title":"Robust data driven control in frequency domain: A model-free approach.","authors":"Seyed-Masoud Tabibian, Mohammad Ataei, Hamid-Reza Koofigar","doi":"10.1016/j.isatra.2025.05.033","DOIUrl":"https://doi.org/10.1016/j.isatra.2025.05.033","url":null,"abstract":"Data-driven control methods in the frequency domain commonly require the determination of controller structure. Relaxing such restriction in the proposed algorithm, the controller design is transformed into an optimization problem, based on the υ-gap Metric criterion. By defining a desired stability margin and the desired frequency response of the controller, a criterion is determined to characterize a family of controllers. Therefore, a model free procedure is proposed to determine a family of controllers, by taking the plant frequency response and the desired stability margin. On the other hand, by adopting a new index, presented in this paper, the designer can determine the optimal controller, based on the implementation conditions. Another advantage of the proposed method is its applicability to uncertain Multi-Input Multi-Output (MIMO) systems. The loop performance in the presented algorithm can be also enhanced by appropriate selection of weighting matrices in a loop shaping procedure. Two examples are also presented to demonstrate the effectiveness of the method for multi-variable non-square uncertain systems, including a practical example of a purely delayed system.","PeriodicalId":94059,"journal":{"name":"ISA transactions","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144188725","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Ensemble fault detection based on magnetic flux leakage images with noise robustness for steel wire ropes. 基于噪声鲁棒性漏磁图像的钢丝绳集成故障检测。

ISA transactions Pub Date : 2025-05-23 DOI: 10.1016/j.isatra.2025.05.037

Feiyang Pan, Zhiliang Liu, Liyuan Ren, Leilei Yang, Mingjian Zuo

{"title":"Ensemble fault detection based on magnetic flux leakage images with noise robustness for steel wire ropes.","authors":"Feiyang Pan, Zhiliang Liu, Liyuan Ren, Leilei Yang, Mingjian Zuo","doi":"10.1016/j.isatra.2025.05.037","DOIUrl":"https://doi.org/10.1016/j.isatra.2025.05.037","url":null,"abstract":"Localization of local flaws is critical to the magnetic flux leakage inspection of steel wire ropes. Existing studies mainly focus on improving the denoising ability to improve LF localization accuracy, but encounter limitations caused by inconsistencies in the noise features. In contrast, the localization technique still lacks enough attention. Second stage noise (SSN), which refers to noise after the denoising process, is the primary cause of inaccurate localization. To address this challenge, this paper adopted two ideas: reducing the SSN through a more effective denoising process and decreasing the false detection of SSN by using ensemble detection in the localization process. The proposed denoising method applies dual-dimensional template matching to enhance the LF signal and suppress the resulting SSN regardless of the noise feature. In the localization stage, two localization methods were developed and combined to obtain united results, bringing improved robustness against the SSN. The results demonstrate that the proposed denoising method achieves a significant reduction in SSN. The proposed ensemble detection achieves an F1 score of 0.9575, which is much higher than existing methods.","PeriodicalId":94059,"journal":{"name":"ISA transactions","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144236291","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A novel performance synthesis method for unknown mismatched disturbances with finite-frequency specifications. 一种新的有限频域未知失匹配干扰性能综合方法。

ISA transactions Pub Date : 2025-05-22 DOI: 10.1016/j.isatra.2025.05.031

Gao Huang, Jixuan Li, Pan Yu

{"title":"A novel performance synthesis method for unknown mismatched disturbances with finite-frequency specifications.","authors":"Gao Huang, Jixuan Li, Pan Yu","doi":"10.1016/j.isatra.2025.05.031","DOIUrl":"https://doi.org/10.1016/j.isatra.2025.05.031","url":null,"abstract":"A novel synthesis method of disturbance-rejection performance is developed for equivalent-input-disturbance (EID)-based control systems regardless of the unknown and mismatch of disturbances in this paper. It removes the prior assumption on the existence of an EID on the control input channel and guarantees a prescribed finite-frequency performance. First, by treating the Luenberger observer as an ideal dynamic, an auxiliary indicator, i.e., an intermediate variable, is introduced to facilitate performance evaluation. Then, the control mechanism of disturbance-rejection performance is revealed for both single-input, single-output (SISO) and multi-input, multi-output (MIMO) systems with the aid of a commutative condition. More specifically, the commutative condition is always true for SISO systems, but it is a bit challenging to find appropriate parameters such that the commutative condition holds for MIMO systems. To facilitate implementation, a practical commutative condition is developed and used instead of the original commutative condition. Further, taking into account the practical commutative condition, a performance-oriented design algorithm is given, which ensures the prescribed finite-frequency and entire-frequency disturbance-rejection performance requirements. Finally, by comparing with other methods, case studies of a quarter-vehicle suspension system and an MIMO system are carried out to demonstrate the advantages of the developed method.","PeriodicalId":94059,"journal":{"name":"ISA transactions","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144176274","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Adaptive finite-time synchronized control of multi-robotic fiber placement system with model uncertainties and disturbances. 具有模型不确定性和干扰的多机器人光纤铺放系统自适应有限时间同步控制。

ISA transactions Pub Date : 2025-05-22 DOI: 10.1016/j.isatra.2025.05.022

Ronghua Zhang, Yaonan Wang, Wenfang Xie, Pengcheng Li, Haoran Tan, Yiming Jiang

{"title":"Adaptive finite-time synchronized control of multi-robotic fiber placement system with model uncertainties and disturbances.","authors":"Ronghua Zhang, Yaonan Wang, Wenfang Xie, Pengcheng Li, Haoran Tan, Yiming Jiang","doi":"10.1016/j.isatra.2025.05.022","DOIUrl":"https://doi.org/10.1016/j.isatra.2025.05.022","url":null,"abstract":"The use of multiple robots to manufacture composite components represents a critical development direction for fiber placement systems (FPSs). In multi-robotic fiber placement systems (MRFPSs) with heterogeneous mechanical structures, robots collaborate to perform fiber placement tasks. Consequently, robot synchronization emerges as a primary factor in determining the performance of the fiber placement process. However, the difficulty in establishing accurate system models and the presence of disturbances are two significant challenges to achieving precise robot synchronization. Additionally, the system is expected to exhibit desirable dynamic characteristics, such as finite-time error convergence. To address these issues and requirements, we propose a novel adaptive finite-time synchronization control (AFSC) algorithm for the system. Specifically, a finite-time sliding mode observer is developed to handle kinematic uncertainty. A novel fast non-singular terminal sliding mode (FNTSM) manifold is constructed in the AFSC algorithm. Moreover, the control algorithm integrates an adaptive law to handle dynamic uncertainty and an adaptive term to counteract disturbances. Performance analysis demonstrates that the AFSC ensures that the coupled, synchronization, and tracking errors converge to zero within finite time. Furthermore, simulations and experiments are conducted to validate the effectiveness of the AFSC algorithm.","PeriodicalId":94059,"journal":{"name":"ISA transactions","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144217948","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Observer-based false data injection attack resilient event-triggered control of microgrid load frequency control system. 基于观测器的假数据注入攻击弹性事件触发控制微电网负荷变频控制系统。

ISA transactions Pub Date : 2025-05-21 DOI: 10.1016/j.isatra.2025.05.030

Athira M Mohan, Nader Meskin

{"title":"Observer-based false data injection attack resilient event-triggered control of microgrid load frequency control system.","authors":"Athira M Mohan, Nader Meskin","doi":"10.1016/j.isatra.2025.05.030","DOIUrl":"https://doi.org/10.1016/j.isatra.2025.05.030","url":null,"abstract":"This study develops a secondary attack resilient observer-based event-triggered control (AROETC) strategy to counter false data injection (FDI) attack at the secondary measurement channel of an islanded microgrid load frequency control (LFC) system with auxiliary/virtual inertia (VI) control loop. The considered microgrid LFC system configuration consists of a local uncompromised VI control loop and a remotely located observer-based secondary controller that ensures FDI attack resilience and communication efficiency. The VI control loop employs a proposed regional pole placement (RPP)-based state feedback auxiliary controller for attaining desired VI performance. The RPP technique of the VI control strategy allows auxiliary control gain tuning by positioning the closed-loop auxiliary poles at the locations described by RPP parameters and thus ensures required auxiliary frequency regulation. Further, the secondary observer and controller gains, ensuring FDI attack resilience and prescribed H∞ performance, are derived using Lyapunov-Krasovskii functional stability analysis, considering secondary measurement channel communication delay, output-based event-triggering condition, remote secondary observer location, and deceptive frequency measurement signal model. Additionally, the impact of FDI attack and the efficacy of the proposed FDI AROETC method are validated through simulation analysis under various disturbance input profiles.","PeriodicalId":94059,"journal":{"name":"ISA transactions","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144176354","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Sliding mode controller by using adaptive exponential reaching law based on nonlinear disturbance observer. 基于非线性扰动观测器的自适应指数逼近律滑模控制器。

ISA transactions Pub Date : 2025-05-21 DOI: 10.1016/j.isatra.2025.05.028

Ying Liu, Gongfa Li, Du Jiang, Juntong Yun, Bo Tao, Guozhang Jiang, Jianyi Kong, Baojia Chen

引用次数: 0

Distributed adaptive sliding mode control with deep recurrent neural network for cooperative robotic system in automated fiber placement. 基于深度递归神经网络的协同机器人自动铺布系统的分布式自适应滑模控制。

ISA transactions Pub Date : 2025-05-17 DOI: 10.1016/j.isatra.2025.05.021

Ningyu Zhu, Wen-Fang Xie

{"title":"Distributed adaptive sliding mode control with deep recurrent neural network for cooperative robotic system in automated fiber placement.","authors":"Ningyu Zhu, Wen-Fang Xie","doi":"10.1016/j.isatra.2025.05.021","DOIUrl":"https://doi.org/10.1016/j.isatra.2025.05.021","url":null,"abstract":"In this article, a distributed control strategy using an adaptive sliding mode controller (ASMC) is proposed for a 13-degree-of-freedom (13-DOF) cooperative robotic system in the field of automated fiber placement (AFP). A distributed control structure with event-triggered mechanism is developed to guarantee the desired cooperation performance and reduce the communication burden. To address dynamic uncertainties and external disturbances, an adaptive sliding mode control approach is designed for the robots. A deep recurrent neural network (DRNN) is incorporated into the ASMC to estimate lumped system uncertainties. The DRNN features a feedforward structure through three hidden layers and a feedback loop connecting the output layer to the input layer. This architecture demonstrates superior online learning capability and dynamic adaptability compared to shallow feedforward neural networks. To ensure the stability of the controller, the adaptation laws of the neural network parameters are formulated through Lyapunov theorem. The feasibility and advantages of the distributed DRNN-based adaptive sliding mode control strategy have been validated by simulation and experimental results.","PeriodicalId":94059,"journal":{"name":"ISA transactions","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144176275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0