ISA transactions最新文献_第7页

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

Improving the Efficiency of Induction Motor Drive by Flux and Torque Control: A Hybrid LSE-RERNN Approach 通过磁通量和转矩控制提高感应电机驱动效率：LSE-RERNN 混合方法

ISA transactions Pub Date : 2024-02-01 DOI: 10.1016/j.isatra.2024.01.034

S.S. Sivaraju, T. Senthilkumar, R. Sankar, T. Anuradha, Mrs. S. Usha, Ismail Bin Musirin