ISA transactions最新文献_第7页

Intermittent control for nonlinear hybrid stochastic delayed systems with measurement error via dynamic event-triggered mechanism. 带有测量误差的非线性混合随机时滞系统的动态事件触发机制间歇控制。

ISA transactions Pub Date : 2025-05-05 DOI: 10.1016/j.isatra.2025.05.005

Hairui Zhao, Dongyan Chen, Jun Hu

引用次数: 0

Sparse grey forecasting model learning and applications to fatigue life prediction of aircraft lap joint structures. 稀疏灰色预测模型学习及其在飞机搭接结构疲劳寿命预测中的应用。

ISA transactions Pub Date : 2025-05-05 DOI: 10.1016/j.isatra.2025.05.003

Lu Yang, Qiuhui Xu, Baolei Wei, Naiming Xie, Shenfang Yuan

{"title":"Sparse grey forecasting model learning and applications to fatigue life prediction of aircraft lap joint structures.","authors":"Lu Yang, Qiuhui Xu, Baolei Wei, Naiming Xie, Shenfang Yuan","doi":"10.1016/j.isatra.2025.05.003","DOIUrl":"https://doi.org/10.1016/j.isatra.2025.05.003","url":null,"abstract":"A key challenge in the study of grey forecasting models is model structure discovery: converting measurement data into equations that are not only predictive, but provide a deeper understanding of the underlying dynamics inherent in the observations. The predominant approach relies on the cumulative sum operator, a knowledge-based technique that requires a well-characterized shape and extensive empirical experience. In this work, we propose a paradigm for data-driven modelling that simultaneously learns the structures of grey forecasting models and estimates the measurement noise at each observation. First, in the context of a state-space framework utilizing the integral representation of the grey model as a state equation, a candidate feature library is designed to explicitly depict the model equation, likely in a redundant form, and solved by sparse learning. Then, by combining signal-noise decomposition and time-stepping constraints, a regularized objective function is formulated to jointly learn model structure and noise. Next, large-scale simulations are designed to investigate the finite sample performance of the proposed method, including model structural identification accuracy, forecasting accuracy, and denoising capability. The results demonstrate high accuracy in model structure learning and robustness to measurement noise. Finally, we conduct fatigue testing on aircraft lap joints to collect crack propagation data. The proposed method is then applied to uncover dynamic patterns in the evolution of fatigue cracks and predict the remaining useful life of aircraft lap joint structures.","PeriodicalId":94059,"journal":{"name":"ISA transactions","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144059058","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

An event-triggered deep reinforcement learning guidance algorithm for intercepting maneuvering target of speed advantage. 针对速度优势机动目标的事件触发深度强化学习制导算法。

ISA transactions Pub Date : 2025-04-30 DOI: 10.1016/j.isatra.2025.04.035

Xu Wang, Yifan Deng, Yuanli Cai, Haonan Jiang

{"title":"An event-triggered deep reinforcement learning guidance algorithm for intercepting maneuvering target of speed advantage.","authors":"Xu Wang, Yifan Deng, Yuanli Cai, Haonan Jiang","doi":"10.1016/j.isatra.2025.04.035","DOIUrl":"https://doi.org/10.1016/j.isatra.2025.04.035","url":null,"abstract":"Hypersonic vehicle interception raises stringent and challenging requirements for traditional guidance laws in terms of speed and maneuverability advantage. Deep reinforcement learning algorithms provide potential solutions for intercepting maneuvering targets of speed advantage, but they are greatly hindered by policy training inefficiency. To address these limitations, we propose a novel event-triggered deep reinforcement learning (ETDRL) algorithm along with an event-triggered training and time-triggered execution (ETTE) framework. The ETTE framework reformulates the agent-environment interaction as an event-triggered Markov decision process (ETMDP) model, where the agent updates its action only when the environment state meets a specific event triggering condition, otherwise maintaining the previous behavior between events. As a result, this approach significantly accelerates policy training by reducing the total number of decision steps required during the learning phase. To mitigate the potential degradation in control performance caused by the event-triggered mechanism, the ETTE framework enables well-trained policies to be executed with a fixed decision interval, that is, in a time-triggered way. Based on the proposed method, an ETDRL guidance law is developed for intercepting maneuvering targets of speed advantage under constraints of limited maneuverability, large initial heading error, and bearings-only measurement. By following the design principle of nullifying the line-of-sight angular rate to establish a collision course with the target, we model the guidance problem as an ETMDP. The twin delayed deep deterministic policy gradient algorithm is utilized to train the ETDRL guidance law. Numerical simulations demonstrate the superiority of the proposed ETDRL method over DRL algorithms in terms of policy training efficiency, while also highlighting its enhanced guidance performance over traditional methods.","PeriodicalId":94059,"journal":{"name":"ISA transactions","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144047279","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

Prescribed-time adaptive event-triggered control for robot manipulators based on command filtering. 基于命令滤波的机器人操作臂定时自适应事件触发控制。

ISA transactions Pub Date : 2025-04-30 DOI: 10.1016/j.isatra.2025.04.021

Yongling Xia, Yanbin Liu, Weichao Sun

引用次数: 0

A novel global path planning method for robot based on dual-source light continuous reflection. 基于双光源连续反射的新型机器人全局路径规划方法

ISA transactions Pub Date : 2024-07-01 Epub Date: 2024-05-09 DOI: 10.1016/j.isatra.2024.05.006

Jintao Ye, Lina Hao, Hongtai Cheng, Xingchen Li

引用次数: 0

Accurate parameter identification method for coupled sub/super-synchronous oscillations for high penetration wind power systems. 高渗透率风力发电系统亚/超同步耦合振荡的精确参数识别方法。

ISA transactions Pub Date : 2024-07-01 Epub Date: 2024-05-13 DOI: 10.1016/j.isatra.2024.05.001

Dongsheng Cai, Feiyu Sun, Linlin Li, Weihao Hu, Qi Huang

{"title":"Accurate parameter identification method for coupled sub/super-synchronous oscillations for high penetration wind power systems.","authors":"Dongsheng Cai, Feiyu Sun, Linlin Li, Weihao Hu, Qi Huang","doi":"10.1016/j.isatra.2024.05.001","DOIUrl":"10.1016/j.isatra.2024.05.001","url":null,"abstract":"As the penetration of renewable energy increases to a large scale and power electronic devices become widespread, power systems are becoming prone to synchronous oscillations (SO). This event has a major impact on the stability of the power grid. The recent research has been mainly concentrated on identifying the parameters of sub-synchronous oscillation. Sub/Super synchronous oscillations (Sub/Sup-SO) simultaneously occur, increasing the difficulty in accurately identify the parameters of SO. This work presents a novel method for parameter identification that effectively handles the Sub/Sup-SO components by utilizing the Rife-Vincent window and discrete Fourier transform (DFT) simultaneously. To mitigate the impact of spectral leakage and the fence effect of DFT, we integrate the tri-spectral interpolation algorithm with the Rife-Vincent window. We use the instantaneous data of the phasor measurement unit (PMU) to identify Sub/Sup-SO-related parameters (Sub/Sup-SO damping ratio, frequency, amplitude and phase). First, the spectrum of the Sub/Sup-SO signals is analyzed after incorporating the Rife-Vincent window, and the characteristics of the Sub/Sup-SO signal are determined. Then, the signal spectrum is identified using a three-point interpolation algorithm, and the damping ratio, amplitude, frequency, and phase of the Sub/Sup-SO signals are obtained. In addition, we consider the identification accuracy of the algorithm under various complex conditions, such as the effect of Sub/Sup-SO parameter variations on parameter identification in the presence of a non-nominal frequency and noise. The proposed algorithm accurately identifies the parameters of multiple Sub/Sup-SO components and two Sub-SO components that are in close proximity. Testing with synthetic and real data demonstrates that the proposed algorithm outperforms existing methods in terms of identification accuracy, identification bandwidth, and adaptability.","PeriodicalId":94059,"journal":{"name":"ISA transactions","volume":" ","pages":"166-180"},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140960142","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

Visualized neural network-based vibration control for pigeon-like flexible flapping wings. 基于可视化神经网络的鸽类柔性拍翼振动控制。

ISA transactions Pub Date : 2024-05-28 DOI: 10.1016/j.isatra.2024.05.044

Hejia Gao, Jinxiang Zhu, Changyin Sun, Zi-Ang Li, Qiuyang Peng

{"title":"Visualized neural network-based vibration control for pigeon-like flexible flapping wings.","authors":"Hejia Gao, Jinxiang Zhu, Changyin Sun, Zi-Ang Li, Qiuyang Peng","doi":"10.1016/j.isatra.2024.05.044","DOIUrl":"https://doi.org/10.1016/j.isatra.2024.05.044","url":null,"abstract":"This study investigates pigeon-like flexible flapping wings, which are known for their low energy consumption, high flexibility, and lightweight design. However, such flexible flapping wing systems are prone to deformation and vibration during flight, leading to performance degradation. It is thus necessary to design a control method to effectively manage the vibration of flexible wings. This paper proposes an improved rigid finite element method (IRFE) to develop a dynamic visualization model of flexible flapping wings. Subsequently, an adaptive vibration controller was designed based on non-singular terminal sliding mode (NTSM) control and fuzzy neural network (FNN) in order to effectively solve the problems of system uncertainty and actuator failure. With the proposed control, stability of the closed loop system is achieved in the context of Lyapunov's stability theory. At last, a joint simulation using MapleSim and MATLAB/Simulink was conducted to verify the effectiveness and robustness of the proposed controller in terms of trajectory tracking and vibration suppression.The obtained results have demonstrated great practical value of the proposed method in both military (low-altitude reconnaissance, urban operations, and accurate delivery, etc.) and civil (field research, monitoring, and relief for disasters, etc.) applications.","PeriodicalId":94059,"journal":{"name":"ISA transactions","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141249139","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

Interference fading suppression with fault-tolerant Kalman filter in phase-sensitive OTDR. 在相位敏感 OTDR 中使用容错卡尔曼滤波器抑制干扰衰减。

ISA transactions Pub Date : 2024-05-10 DOI: 10.1016/j.isatra.2024.05.011

Yu Wang, Chunchen He, Waner Du, Huirong Hu, Qing Bai, Xin Liu, Baoquan Jin

{"title":"Interference fading suppression with fault-tolerant Kalman filter in phase-sensitive OTDR.","authors":"Yu Wang, Chunchen He, Waner Du, Huirong Hu, Qing Bai, Xin Liu, Baoquan Jin","doi":"10.1016/j.isatra.2024.05.011","DOIUrl":"https://doi.org/10.1016/j.isatra.2024.05.011","url":null,"abstract":"A multi-sensor information fusion algorithm based on fault-tolerant Kalman filter is proposed in phase-sensitive optical time-domain reflectometer (Φ-OTDR) system, for achieving fading-free distributed vibration sensing. Firstly, a fault-tolerant dual-core complementary array model is designed. The Rayleigh scattering signal denoising, and vibration existence judgment of localization points are carried out to obtain the differentiated frequency demodulation results of the sensing points of the dual-core fiber array. Then a fault-tolerant control strategy is used to determine the sensor weight coefficients and vibration judgment coefficients during data fusion processing, and array data fusion is carried out based on time series data using Kalman filter to realize error value identification and filling. The advantage of this method is the combination of redundant data in a complementary way to improve the system stability. The frequency response ranges from 10 Hz to 2400 Hz and the localization accuracy is 98.33%. The influence of key parameters on the frequency demodulation performance of fault-tolerant Kalman filter is discussed, and a standard deviation of 14.6 Hz and an average error of 7.6 Hz are obtained. The demodulation frequency data matrix obtained by the classical demodulation method has a demodulation error probability of 89.18%, which proves the widespread existence of demodulation errors in vibration signals. The fusion error of demodulation frequency is reduced to 0.25 Hz, the frequency demodulation accuracy reaches 100%, and the demodulation error caused by interference attenuation can be completely eliminated. This system based on fault-tolerant Kalman filter has the characteristics of simple multiplexing structure, interference fading resistance and stable demodulation performance.","PeriodicalId":94059,"journal":{"name":"ISA transactions","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140960238","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 sensitive spectrum entropy-assisted Bayesian online anomaly inference method for bearing incipient degradation dynamic detection 用于轴承初期退化动态检测的灵敏频谱熵辅助贝叶斯在线异常推理方法

ISA transactions Pub Date : 2024-02-01 DOI: 10.1016/j.isatra.2024.02.001

Renhe Yao, Hongkai Jiang, Yunpeng Liu, Hongxuan Zhu

引用次数: 0

Adaptive Robust Control with Slipping Parameters Estimation Based on Intelligent Learning for Wheeled Mobile Robot 基于智能学习的轮式移动机器人自适应鲁棒控制与滑动参数估计

ISA transactions Pub Date : 2024-02-01 DOI: 10.1016/j.isatra.2024.02.008

M. H. Korayem, M. Safarbali, N. Y. Lademakhi

引用次数: 0