ISA transactions最新文献_第2页

A performance degradation assessment method for complex electromechanical systems based on adaptive evidential reasoning rule. 基于自适应证据推理规则的复杂机电系统性能退化评估方法。

ISA transactions Pub Date : 2024-11-17 DOI: 10.1016/j.isatra.2024.11.026

Bangcheng Zhang, Shuo Gao, Shiyuan Lv, Nan Jia, Jie Wang, Bo Li, Guanyu Hu

{"title":"A performance degradation assessment method for complex electromechanical systems based on adaptive evidential reasoning rule.","authors":"Bangcheng Zhang, Shuo Gao, Shiyuan Lv, Nan Jia, Jie Wang, Bo Li, Guanyu Hu","doi":"10.1016/j.isatra.2024.11.026","DOIUrl":"https://doi.org/10.1016/j.isatra.2024.11.026","url":null,"abstract":"The evidence reasoning (ER) rule has been widely used in various fields to deal with both quantitative and qualitative information with uncertainty. However, when analyzing dynamic systems, the importance of various indicators frequently changes with time and working conditions, such as performance degradation assessment of complex electromechanical systems, and the weights of the traditional evidence reasoning rules cannot be appropriately adjusted. To solve this problem, this paper proposes an adaptive evidence reasoning (AER) rule that can adjust weights according to different times and working conditions. The AER rule has two unique features: adaptive weight operation under time division and adaptive weight operation under working-condition division, which are used to solve the problem of dynamic weight adjustment under different times and working conditions. The CMA-ES algorithm is used to optimize the model parameters. Two case studies of performance degradation assessment are established to prove the advantage of the AER rule: a computer numerical control experiment and a simulation experiment of turbofan aeroengine. The results verify the effectiveness and practicability of the proposed method.","PeriodicalId":94059,"journal":{"name":"ISA transactions","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142735431","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

Hybrid model using bond graph-TCN network and event triggered predictive control of pH neutralization process.

ISA transactions Pub Date : 2024-11-17 DOI: 10.1016/j.isatra.2024.11.025

Joanofarc Xavier, M A Henry Barath, Sanjib Kumar Patnaik, Rames C Panda, Atanu Panda

{"title":"Hybrid model using bond graph-TCN network and event triggered predictive control of pH neutralization process.","authors":"Joanofarc Xavier, M A Henry Barath, Sanjib Kumar Patnaik, Rames C Panda, Atanu Panda","doi":"10.1016/j.isatra.2024.11.025","DOIUrl":"https://doi.org/10.1016/j.isatra.2024.11.025","url":null,"abstract":"The pH neutralization process is a concrete decisive unit in major reactor units of industrial process control loops. This article presents a new fuzzy-based hybrid 'Bond Graph-Temporal Convolution Network' (BG-TCN) model, structured for the convoluted dynamics of a real-time pH neutralization unit, known for its complexity and high nonlinearity. The TCN scheme suggested in this article, exploits a one-dimensional causal convolution strategy within a residual learning framework to execute dilated causal convolutions through time series data analysis. Conversely, Bond Graph (BG) is a graphical tool, designed on an energy-centric approach, to represent energy transfer and interactions across different compartments of the nonlinear pH neutralization system. Furthermore, a linguistic fuzzy rule-based inference system is encompassed to handle uncertainties from BG and TCN models, allowing smooth integration and flexible transition between these two approaches. Additionally, the performance of the hybrid BG-TCN model is assessed against the individual TCN and BG models in a Python environment. On top of that, this article also envisions an event-triggered predictive control utilizing a fuzzy event handler mechanism to demonstrate the efficacy of the proposed hybrid BG-TCN in attaining precise set point tracking for closed-loop servo and regulatory problems.","PeriodicalId":94059,"journal":{"name":"ISA transactions","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142756067","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

Active disturbance rejection control for four-wire inverters in standalone renewable resources-based microgrid - islanded microgrids ADRC-based control. 基于可再生资源的独立微电网中四线逆变器的有源干扰抑制控制 - 基于 ADRC 的孤岛微电网控制。

ISA transactions Pub Date : 2024-11-16 DOI: 10.1016/j.isatra.2024.11.006

Elhoussin Elbouchikhi, Allal Bouzid El Moubarek, Abdelmajid Abouloifa, Abdelali El Aroudi, Mohamed Benbouzid

引用次数: 0

A layer-wise melting defects mitigation method in laser powder bed fusion process based on machine learning and fuzzy inference. 基于机器学习和模糊推理的激光粉末床熔化过程中的分层熔化缺陷缓解方法。

ISA transactions Pub Date : 2024-11-16 DOI: 10.1016/j.isatra.2024.11.010

Chenguang Ma, Yingjie Zhang

{"title":"A layer-wise melting defects mitigation method in laser powder bed fusion process based on machine learning and fuzzy inference.","authors":"Chenguang Ma, Yingjie Zhang","doi":"10.1016/j.isatra.2024.11.010","DOIUrl":"https://doi.org/10.1016/j.isatra.2024.11.010","url":null,"abstract":"Melting defects in Laser Powder Bed Fusion (LPBF) processes, such as lack of fusion (LOF) or over-melting (OM), can cause significant deterioration in mechanical properties and surface roughness of printed parts, potentially leading to process failure. Previous attempts to utilize local melt pool-related information for LPBF process control have faced limitations due to the high requirements on sensors and data processing, as well as the lack of representativeness of local melt pool information. This study focuses on the surface quality of the parts and proposes an image based LPBF control to mitigate melting defect. A quality identification module utilizing convolutional neural networks (CNN) to perform layer-by-layer evaluation of the melting quality of the part. The CNN achieved an accuracy of up to 98.2% in identifying melting quality. Furthermore, based on the surface melting quality extracted by CNN, a fuzzy control strategy (FIC) integrated with a historical state consistency check mechanism (HSCCM) is introduced to determine the optimal control actions for subsequent layers. Experimental results affirm that the FIC integrated with HSCCM effectively alleviates surface melting defects, thereby enhancing surface roughness and manufacturing quality of components. This research offers a novel approach for online quality monitoring and improvement in LPBF processes.","PeriodicalId":94059,"journal":{"name":"ISA transactions","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142741866","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

Remaining useful life prediction with limited run-to-failure data: A Bayesian ensemble approach combining mode-dependent RVM and similarity. 利用有限的运行至故障数据预测剩余使用寿命：结合模式依赖性 RVM 和相似性的贝叶斯集合方法。

ISA transactions Pub Date : 2024-11-16 DOI: 10.1016/j.isatra.2024.11.023

Zhuyi Li, Hao Zheng, Xianbo Xiang, Shuai Liu, Yiming Wan

{"title":"Remaining useful life prediction with limited run-to-failure data: A Bayesian ensemble approach combining mode-dependent RVM and similarity.","authors":"Zhuyi Li, Hao Zheng, Xianbo Xiang, Shuai Liu, Yiming Wan","doi":"10.1016/j.isatra.2024.11.023","DOIUrl":"https://doi.org/10.1016/j.isatra.2024.11.023","url":null,"abstract":"Accurate prediction of remaining useful life (RUL) is crucial for predictive maintenance of industrial systems. Although data-driven RUL prediction methods have received considerable attention, they typically require massive run-to-failure (R2F) data which is often unavailable in practice. If not properly addressed, training with a limited number of R2F trajectories not only leads to large errors in RUL prediction, but also causes difficulty in quantifying the prediction uncertainty. To address the above challenge, this paper proposes a Bayesian ensemble RUL prediction method that combines mode-dependent relevance vector machine (RVM) and trajectory similarity. Firstly, the proposed approach clusters historical R2F trajectories of unequal lengths into different degradation modes, and constructs RVM and similarity based predictions with improved accuracy by using mode-dependent libraries of kernel functions and similar trajectories. Secondly, the proposed Bayesian ensemble scheme fuses the RVM and similarity based predictions, and quantifies the associated prediction uncertainty even though the number of historical R2F trajectories are limited. In two case studies involving bearings and batteries, using only 11 and 16 R2F trajectories as training data, respectively, the proposed method reduces the mean absolute percentage error of RUL prediction by more than 20% compared to three existing methods.","PeriodicalId":94059,"journal":{"name":"ISA transactions","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142690102","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

Model predictive direct voltage control strategy with hybrid cost function and loss observer for 3P-2L-VSC converter system. 采用混合成本函数和损耗观测器的 3P-2L-VSC 变流器系统模型预测直接电压控制策略。

ISA transactions Pub Date : 2024-11-16 DOI: 10.1016/j.isatra.2024.11.024

Shaomin Yan, Hao Zhang, Haixia Li, Qingyun Yang, Chengmin Li

{"title":"Model predictive direct voltage control strategy with hybrid cost function and loss observer for 3P-2L-VSC converter system.","authors":"Shaomin Yan, Hao Zhang, Haixia Li, Qingyun Yang, Chengmin Li","doi":"10.1016/j.isatra.2024.11.024","DOIUrl":"https://doi.org/10.1016/j.isatra.2024.11.024","url":null,"abstract":"3P-2L-VSC converter system suffers from complex control structure, cumbersome parameter design and slow system dynamic response under conventional double-loop scheme. In this paper, model predictive direct voltage control strategy with hybrid cost function and loss observer is designed to improve system performance and simplify system control structure. First, a model predictive direct voltage control strategy is proposed based on Euler discrete differential and integral method to enhance system dynamic response, which eliminates the cascaded intermediate link and achieves direct targets control. Second, a system power loss observer is designed based on Lyapunov function to improve prediction accuracy for FCS-MPC and system steady performance. Third, an improved hybrid cost function with targets and intermediate state is designed to track targets and reduce intermediate state fluctuation, which overcomes the lack of inner current loop. Finally, the advantages of the proposed strategy are verified in simulation and experiment, where the maximum RMSEs of steady state Vdc, iq and id are 0.045, 0.81 and 0.58 at rated power respectively, and the recovery time of DC voltage is reduced by about 30 ms and 35 ms compared with PI-MPC when DC load and DC voltage change.","PeriodicalId":94059,"journal":{"name":"ISA transactions","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142696263","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

Active disturbance rejection control with adaptive RBF neural network for a permanent magnet spherical motor. 利用自适应 RBF 神经网络对永磁球形电机进行主动干扰抑制控制。

ISA transactions Pub Date : 2024-11-16 DOI: 10.1016/j.isatra.2024.11.020

Xiwen Guo, Ao Tan, Qunjing Wang, Guoli Li, Yuming Sun, Qiyong Yang

引用次数: 0

Robust estimation method for power system dynamic synchronization with sensor gain degradation. 传感器增益衰减情况下电力系统动态同步的鲁棒估计方法。

ISA transactions Pub Date : 2024-11-14 DOI: 10.1016/j.isatra.2024.10.031

Yi Wang, Jiawei Zhang, Yaoqiang Wang, Zhongwen Li, Kewen Wang, Jun Liang

引用次数: 0

A composite fixed-time sliding mode control scheme for Unmanned Ground Vehicles affected by external disturbances. 受外部干扰影响的无人地面飞行器的复合固定时间滑动模式控制方案。

ISA transactions Pub Date : 2024-11-14 DOI: 10.1016/j.isatra.2024.11.003

Zongliang Chen, Shuguo Pan, Kegen Yu, Xinhua Tang, Wang Gao, Haonan Jia

{"title":"A composite fixed-time sliding mode control scheme for Unmanned Ground Vehicles affected by external disturbances.","authors":"Zongliang Chen, Shuguo Pan, Kegen Yu, Xinhua Tang, Wang Gao, Haonan Jia","doi":"10.1016/j.isatra.2024.11.003","DOIUrl":"https://doi.org/10.1016/j.isatra.2024.11.003","url":null,"abstract":"Accurate path-following control is crucial for Unmanned Ground Vehicles (UGV). However, influenced by external disturbances, UGV systems encounter challenges in meeting specific performance requirements, such as no overshoot and minimized chattering. In current sliding mode control (SMC) methods with disturbance observer (DOB), there still exists a serious chattering problem. To achieve fast chattering reduction and accurate path-following performance, this paper proposes a novel composite fixed-time sliding mode (CFTSM) control method according to fixed-time disturbance observer (FTDO). First, a innovative CFTSM control scheme is developed to achieve a significant gain near the origin in the UGV system. It facilitates quicker convergence and improved tracking performance than other SMC methods. Then, to mitigate the impact of the external disturbances, a FTDO is designed to estimate and effectively eliminate these disturbances in fixed-time. Finally, a composite control strategy, which integrated the FTDO into the CFTSM control scheme, is proposed to stabilize the UGV system and suppress the chattering phenomenon. A comprehensive simulation and experimental results demonstrate that the proposed CFTSM-FTDO control strategy performs better with strong robustness and stability. In real experiments, the CFTSM achieves RMSE reductions of 26.8% and 8.9% in lateral and heading errors compared to CFTSM-FFE, and 19.1% and 3.9% compared to FTSMC-AESO. These enhancements are expected to achieve more accurate and stable tracking performance for the UGV, thus giving rise to accurate autonomous navigation.","PeriodicalId":94059,"journal":{"name":"ISA transactions","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142735420","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

Fault diagnosis and tolerant strategy for MIMO system based on ν-gap metric. 基于ν-间隙度量的多输入多输出（MIMO）系统故障诊断与容错策略

ISA transactions Pub Date : 2024-11-12 DOI: 10.1016/j.isatra.2024.10.029

Shufeng Zhang, Changan Liu, Yuntao Shi, Xiang Yin

{"title":"Fault diagnosis and tolerant strategy for MIMO system based on ν-gap metric.","authors":"Shufeng Zhang, Changan Liu, Yuntao Shi, Xiang Yin","doi":"10.1016/j.isatra.2024.10.029","DOIUrl":"https://doi.org/10.1016/j.isatra.2024.10.029","url":null,"abstract":"The coupled relationship between inputs and outputs in multiple-input multiple-output (MIMO) systems, as well as the multiplicative uncertainties caused by multiplicative faults, increases the complexity of fault diagnosis (FD) and fault-tolerant control (FTC). Research has indicated that coprime factor uncertainties are suitable for modeling multiplicative uncertainties. This paper presents an FD and FTC strategy for MIMO systems based on the ν-gap metric technique within the coprime factorization framework. In the offline phase, the ν-gap metric-based hierarchical clustering method is designed to classify fault samples. Next, core systems and boundary systems are calculated for each fault category, and corresponding residual compensation controllers are designed. In the online phase, by computing the relevant ν-gap metric values, the fault severity of the real-time system is determined, and the core system with similar dynamic behaviors is identified. This FD result drives the switching of residual compensation controller, achieving FTC and ensuring system stability and robustness. This strategy eliminates the need for online solving of fault-tolerant controller, saving computational resources. Finally, the ν-gap metric-based FD and FTC strategy is validated with simulations on a three-phase voltage source inverter system.","PeriodicalId":94059,"journal":{"name":"ISA transactions","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142635079","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