Control Engineering Practice最新文献_第9页

A novel decentralized cooperative architecture for energy storage systems providing frequency support services

IF 5.4 2区计算机科学

Control Engineering Practice Pub Date : 2025-01-06 DOI: 10.1016/j.conengprac.2024.106221

Virginia Casella , Giulio Ferro , Alessandra Parisio , Michela Robba , Mansueto Rossi

引用次数: 0

Distinguishable attack and fault detection in Interconnected cyber–physical systems

IF 5.4 2区计算机科学

Control Engineering Practice Pub Date : 2025-01-04 DOI: 10.1016/j.conengprac.2024.106216

Chun Liu , Yue Shi , Shuo Zhou , Liang Xu , Yang Li

{"title":"Distinguishable attack and fault detection in Interconnected cyber–physical systems","authors":"Chun Liu , Yue Shi , Shuo Zhou , Liang Xu , Yang Li","doi":"10.1016/j.conengprac.2024.106216","DOIUrl":"10.1016/j.conengprac.2024.106216","url":null,"abstract":"<div><div>This paper delves into the intricate challenge of discerning anomalies within interconnected cyber–physical systems (ICPSs), especially when confronted with intertwined faults and cyber attacks. At the outset, the cyber attack detection capability of the unknown input observer (UIO) is improved with the combination of the neighboring state augmentation and redundancy detection techniques. This is followed by the design of a Luenberger observer(LO)-based fault detection strategy that integrates both the physical-interlinked information with neighbors and the local output collections, thus ensuring robust fault detection performance, even amidst attacks. Expanding on this, residual-based distinguishable attack and fault detection metrics are devised and the interoperability of the dual UIO and LO guarantees the simultaneous differentiation of interleaved-action faults and cyber attacks. Concluding the discourse, the results from case study in ICPSs validate the efficacy of the proposed strategy for detection, which utilizes a dual observer-based approach for distinct identification.</div></div>","PeriodicalId":50615,"journal":{"name":"Control Engineering Practice","volume":"156 ","pages":"Article 106216"},"PeriodicalIF":5.4,"publicationDate":"2025-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143158458","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Probabilistic prediction of wind farm power generation using non-crossing quantile regression

IF 5.4 2区计算机科学

Control Engineering Practice Pub Date : 2025-01-03 DOI: 10.1016/j.conengprac.2024.106226

Yu Huang , Xuxin Li , Dui Li , Zongshi Zhang , Tangwen Yin , Hongtian Chen

{"title":"Probabilistic prediction of wind farm power generation using non-crossing quantile regression","authors":"Yu Huang , Xuxin Li , Dui Li , Zongshi Zhang , Tangwen Yin , Hongtian Chen","doi":"10.1016/j.conengprac.2024.106226","DOIUrl":"10.1016/j.conengprac.2024.106226","url":null,"abstract":"<div><div>The probabilistic prediction of energy generation by a wind farm quantifies the volatility of wind power. Thus, accurate probabilistic predictions can provide valuable information for grid dispatching and a basis for reliability assessment for safe operation. However, the inherent stochasticity and instability of wind power generation and the quantile crossover problem of traditional quantile regression neural networks pose challenges for prediction. Therefore, this study proposes a wind power probabilistic prediction model using a non-crossing quantile regression neural network (NCQRNN). A data preprocessing method using time-varying filtering empirical mode decomposition (TVFEMD) is introduced to reduce the volatility and sophistication of the wind power series. The NCQRNN model is designed to incorporate the monotonicity constraints and predict the results of multiple quantiles simultaneously. Furthermore, the predicted conditional quantiles are mathematically proven to not exhibit any crossover phenomena. The wind power data from Elia Grid, Belgium, is used to verify the prediction effectiveness of the proposed method. The obtained results indicate that the proposed probabilistic prediction model addresses the quantile crossover issue while adequately extracting the nonlinear and temporal features of the wind power series. This method accurately quantifies the uncertainty of wind power with high prediction efficiency and accuracy.</div></div>","PeriodicalId":50615,"journal":{"name":"Control Engineering Practice","volume":"156 ","pages":"Article 106226"},"PeriodicalIF":5.4,"publicationDate":"2025-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143157055","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Hydraulic actuator control based on continuous higher order sliding modes

IF 5.4 2区计算机科学

Control Engineering Practice Pub Date : 2025-01-03 DOI: 10.1016/j.conengprac.2024.106218

Manuel A. Estrada , Michael Ruderman , Oscar Texis-Loaiza , Leonid Fridman

引用次数: 0

Process monitoring for tower pumping units under variable operational conditions: From an integrated multitasking perspective

IF 5.4 2区计算机科学

Control Engineering Practice Pub Date : 2025-01-02 DOI: 10.1016/j.conengprac.2024.106229

Jiusi Zhang , Kun Qian , Hao Luo , Yuanhong Liu , Xinyu Qiao , Xiaoyi Xu , Jilun Tian

{"title":"Process monitoring for tower pumping units under variable operational conditions: From an integrated multitasking perspective","authors":"Jiusi Zhang , Kun Qian , Hao Luo , Yuanhong Liu , Xinyu Qiao , Xiaoyi Xu , Jilun Tian","doi":"10.1016/j.conengprac.2024.106229","DOIUrl":"10.1016/j.conengprac.2024.106229","url":null,"abstract":"<div><div>Accurately monitoring the safe operation and dynamometer diagram inference of tower pumping units is crucial for process monitoring on drilling platforms. This paper proposes an integrated multitasking intelligent tower pumping unit process monitoring scheme facing variable operational conditions. The scheme proposes an unsupervised fault detection approach utilizing a multi-head self-attention mechanism neural network with a modified denoising autoencoder for tower pumping units without faulty data. The network robustness and reconstruction ability are enhanced through a multi-head attention mechanism layer added to the bottleneck layer, thereby effectively accomplishing the fault detection task. Furthermore, the scheme establishes the mapping relationship between electrical parameters and corresponding operational conditions of tower pumping units through a learning-based algorithm, which enables operational condition identification under variable conditions. Moreover, the scheme proposes a dynamometer diagram inference approach for tower pumping units under variable conditions, which accurately estimates the suspended load and displacement, to achieve an efficient inference process. The effectiveness of the proposed integrated multitasking intelligent tower pumping unit process monitoring scheme is validated through the real-world data provided by the Daqing Petroleum Institute.</div></div>","PeriodicalId":50615,"journal":{"name":"Control Engineering Practice","volume":"156 ","pages":"Article 106229"},"PeriodicalIF":5.4,"publicationDate":"2025-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143158455","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Hierarchical optimization and nonlinear adaptive multiple input and multiple output (NAMIMO) control for two-speed dual-clutch gearshift system in electric vehicles

IF 5.4 2区计算机科学

Control Engineering Practice Pub Date : 2025-01-01 DOI: 10.1016/j.conengprac.2024.106231

Bolin He , Qiang Wei , Yong Chen , Changyin Wei

{"title":"Hierarchical optimization and nonlinear adaptive multiple input and multiple output (NAMIMO) control for two-speed dual-clutch gearshift system in electric vehicles","authors":"Bolin He , Qiang Wei , Yong Chen , Changyin Wei","doi":"10.1016/j.conengprac.2024.106231","DOIUrl":"10.1016/j.conengprac.2024.106231","url":null,"abstract":"<div><div>One critical bottleneck impeding the widespread adoption of dual-clutch automatic transmission in pure electric vehicles (EV) is the substantial gear shifting jerk and considerable sliding friction work generated during the gear shifting process. This is due to the significant speed gap between different gears during gear shifting in EV transmissions compared to traditional internal combustion engine transmissions. To address the challenges, this study proposes a novel hierarchical gear shifting control strategy. The upper-layer strategy grounded in a global perspective, achieves non-power-interrupted shifting without power attenuation, thereby minimizing the gear shifting jerk. The middle-layer strategy integrates with the upper-layer strategy to generate gear shifting reference trajectories for torque and inertia phase, respectively, thereby minimizing clutch sliding friction work.The lower-layer strategy employs feedforward and backstepping methods based on the reference trajectories to control the torque phase and inertia phase shifting actions respectively. Additionally, it incorporates a linear quadratic regulator (LQR) for the inertia phase controller to achieve nonlinear adaptive multi-input and multi-output (NAMIMO) control, enabling the clutch to adaptively compensate for motor speed regulation. So that the motor can achieve speed adjustment quickly and accurately. Finally, the efficacy of the control strategy was validated on the MATLAB/Simulink platform under various initial torques and speeds. The effectiveness of the strategy and the accuracy of the simulation results were verified through test bench experiments.</div></div>","PeriodicalId":50615,"journal":{"name":"Control Engineering Practice","volume":"156 ","pages":"Article 106231"},"PeriodicalIF":5.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143157089","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

K∞ function-based robust sliding mode control for remotely operated vehicles: Theory, simulations, and experiments

IF 5.4 2区计算机科学

Control Engineering Practice Pub Date : 2024-12-31 DOI: 10.1016/j.conengprac.2024.106230

Hongxuan Chen , Guoyuan Tang , Wenqiang Xiao , Xiaoyu Zhou , Dongdong Wu , Liang Gui

引用次数: 0

Enhanced variational autoencoder with continual learning capability for multimode process monitoring

IF 5.4 2区计算机科学

Control Engineering Practice Pub Date : 2024-12-31 DOI: 10.1016/j.conengprac.2024.106219

Zhenhua Yu , Guan Wang , Qingchao Jiang , Xuefeng Yan , Zhixing Cao

{"title":"Enhanced variational autoencoder with continual learning capability for multimode process monitoring","authors":"Zhenhua Yu , Guan Wang , Qingchao Jiang , Xuefeng Yan , Zhixing Cao","doi":"10.1016/j.conengprac.2024.106219","DOIUrl":"10.1016/j.conengprac.2024.106219","url":null,"abstract":"<div><div>Existing mode segmentation methods in multimode process monitoring generally fail to simultaneously determine the number of modes and segmentation points. In addition, traditional monitoring methods typically suffer from “catastrophic forgetting”, resulting in poor monitoring performance. This paper proposes a novel mode segmentation method called latent variable mapping greedy Gaussian segmentation (LMGGS) and enhances the variational autoencoder (VAE) with continual learning (CL-VAE) capability to address the problem of catastrophic forgetting. First, the LMGGS is used for mode segmentation, which reformulates the mode segmentation problem as a covariance-regularized maximum likelihood estimation problem. Second, weights in VAE deemed unimportant were set to zero, and the remaining ones were updated by training the model with important samples in a direction orthogonal to the gradient space of the previous modes. Finally, statistics and thresholds based on the reconstruction error were established to determine the system states. The LMGGS can simultaneously determine the segmentation point and the number of modes, while the CL-VAE can effectively address catastrophic forgetting and reduce data storage requirements. The superiority of the proposed methods was validated through experiments on two simulated datasets and an actual penicillin fermentation dataset.</div></div>","PeriodicalId":50615,"journal":{"name":"Control Engineering Practice","volume":"156 ","pages":"Article 106219"},"PeriodicalIF":5.4,"publicationDate":"2024-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143158493","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Application of a predictive method to protect privacy of mobility data

IF 5.4 2区计算机科学

Control Engineering Practice Pub Date : 2024-12-28 DOI: 10.1016/j.conengprac.2024.106223

Emilio Molina , Mirko Fiacchini , Arthur Goarant , Rémy Raes , Sophie Cerf , Bogdan Robu

引用次数: 0

Real-time application of Koopman-based optimal control strategies for fuel cell stack thermal management

IF 5.4 2区计算机科学

Control Engineering Practice Pub Date : 2024-12-28 DOI: 10.1016/j.conengprac.2024.106225

Da Huo, Adwoa Adunyah, Carrie M. Hall

{"title":"Real-time application of Koopman-based optimal control strategies for fuel cell stack thermal management","authors":"Da Huo, Adwoa Adunyah, Carrie M. Hall","doi":"10.1016/j.conengprac.2024.106225","DOIUrl":"10.1016/j.conengprac.2024.106225","url":null,"abstract":"<div><div>In this study, a Koopman operator was applied in conjunction with linear optimal control algorithms, specially linear quadratic regulator (LQR), to enable real-time control of a 5 kW open cathode proton exchange membrane fuel cell (PEMFC) stack. A proportional–integral (PI) controller and two Koopman-based linear quadratic regulator (KLQR) controllers were developed. These controllers were designed to focus on minimizing in-stack temperature and temperature variations across the PEMFC stack, while also reducing auxiliary power consumption. To evaluate the real-time performance of these controllers, they were integrated with associated hardware using a National Instruments data acquisition system (DAQ) through LabVIEW. Various real-world scenario test conditions were conducted to assess the controllers’ performance and disturbance rejection, including evaluations based on the net power output of the PEMFC stack, as well as temperature and temperature variations in transient and steady states. Additionally, a comparative analysis of the controllers’ hardware-in-loop performance was conducted and compared to simulation results. The results demonstrate that the proposed Koopman-based LQR approach offers several advantages in thermal management and control of temperature variations across the PEMFC stack, leading to improved net power outputs.</div></div>","PeriodicalId":50615,"journal":{"name":"Control Engineering Practice","volume":"156 ","pages":"Article 106225"},"PeriodicalIF":5.4,"publicationDate":"2024-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143157090","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0