Control Engineering Practice最新文献_第6页

Assessment and validation of wave excitation force estimators in operative conditions 手术条件下波激力估算器的评估与验证

IF 5.4 2区计算机科学

Control Engineering Practice Pub Date : 2024-07-25 DOI: 10.1016/j.conengprac.2024.106019

{"title":"Assessment and validation of wave excitation force estimators in operative conditions","authors":"","doi":"10.1016/j.conengprac.2024.106019","DOIUrl":"10.1016/j.conengprac.2024.106019","url":null,"abstract":"<div><p>For a reliable development of energy-maximising optimal control strategies in wave energy, wave excitation force estimators are fundamental components in the control loop, since the optimality of the solution depends on their precision. In the control deployment phase, it is necessary to test the precision of wave estimates to assess the eventual margin of improvement for optimal energy extraction. Nonetheless, current strategies for wave estimator validation are based on the possibility of repeating with high precision the wave signal, and blocking the device in a predefined position, assumptions which are possible only in certain test facilities. This study proposes a novel estimator validation strategy, termed <em>closed-loop validation</em>, based on the analysis of the system motion only, which is suitable for testing excitation force estimators under realistic (open-sea) conditions. For this purpose, two excitation force observers, based on a random walk and a harmonic oscillator wave description, are developed, on the basis of the energy conversion device identified model. In particular, the device is a WaveStar prototype at the Aalborg University facility tank, in Denmark. The observers (and the identified model) are validated under irregular sea states, with both the classical and the proposed scheme, proving the effectiveness of the latter in demonstrating the excitation force estimator performance without requiring a direct force measurement.</p></div>","PeriodicalId":50615,"journal":{"name":"Control Engineering Practice","volume":null,"pages":null},"PeriodicalIF":5.4,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0967066124001783/pdfft?md5=95157042dd3cbfb61cf575e797a5c454&pid=1-s2.0-S0967066124001783-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141952475","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Data-driven modeling approach of heavy-duty gas turbine with physical constraint by MTGNN and Transformer 利用 MTGNN 和 Transformer 对具有物理约束的重型燃气轮机进行数据驱动建模的方法

IF 5.4 2区计算机科学

Control Engineering Practice Pub Date : 2024-07-24 DOI: 10.1016/j.conengprac.2024.106014

引用次数: 0

Adaptive time-delay estimation error compensation for application to robot manipulators 应用于机器人机械手的自适应时延估计误差补偿

IF 5.4 2区计算机科学

Control Engineering Practice Pub Date : 2024-07-24 DOI: 10.1016/j.conengprac.2024.106029

{"title":"Adaptive time-delay estimation error compensation for application to robot manipulators","authors":"","doi":"10.1016/j.conengprac.2024.106029","DOIUrl":"10.1016/j.conengprac.2024.106029","url":null,"abstract":"<div><p>This paper introduces an adaptive time-delay estimation error compensation (ATDE2C) scheme that strategically reduces the difficult-to-predict tracking errors of time-delay control (TDC) for given reference trajectories. Specially, these tracking errors mainly come from the so-called TDE errors caused by one-sample delayed measurements associated with a time delay estimation (TDE) technique in TDC. ATDE2C enhances robustness of TDC against such inevitable TDE errors using a disturbance observer (DOB)-based approach, thereby enlarging the stable operational region and offering a more robust performance compared to the basic TDC. The ATDE2C scheme enhances tracking performance of robot manipulators by adaptively feeding back the difference between actual and estimated TDE errors using a disturbance observer. This approach is particularly effective in managing hard nonlinearities, such as Coulomb friction, encountered in high-degree-of-freedom robots during rapid joint movements. It minimizes frictional effects and prevents overshoots, ensuring precise control. Moreover, it allows for intuitive tuning of the controller through parameters focused on convergence speed, making it practical for application compared to existing controllers. Extensive testing, including simulations and experiments, confirms improved performance of ATDE2C in real-world applications.</p></div>","PeriodicalId":50615,"journal":{"name":"Control Engineering Practice","volume":null,"pages":null},"PeriodicalIF":5.4,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141949753","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

Variable sampling period multi-phase predictive controller based on regions 基于区域的可变采样周期多相预测控制器

IF 5.4 2区计算机科学

Control Engineering Practice Pub Date : 2024-07-23 DOI: 10.1016/j.conengprac.2024.106021

引用次数: 0

Fixed-time attitude control of reusable launch vehicles utilizing reliability-based control allocation 利用基于可靠性的控制分配实现可重复使用运载火箭的固定时间姿态控制

IF 5.4 2区计算机科学

Control Engineering Practice Pub Date : 2024-07-23 DOI: 10.1016/j.conengprac.2024.106013

引用次数: 0

Community inspired edge specific message graph convolution network for predictive monitoring of large-scale polymerization processes 用于大规模聚合过程预测监控的群体启发边缘特定信息图卷积网络

IF 5.4 2区计算机科学

Control Engineering Practice Pub Date : 2024-07-20 DOI: 10.1016/j.conengprac.2024.106020

{"title":"Community inspired edge specific message graph convolution network for predictive monitoring of large-scale polymerization processes","authors":"","doi":"10.1016/j.conengprac.2024.106020","DOIUrl":"10.1016/j.conengprac.2024.106020","url":null,"abstract":"<div><p>The polyester fiber production process is a typical example of a large-scale system. The monitoring and prediction of key process variables play a crucial role in the stability of the polyester fiber production processes. Especially during the esterification stage, there are multiple types of strong nonlinear dependencies among many sensor variables, which has always been a challenge in non-diffusive system modeling and control. Therefore, an Edge-Specific Message Graph Convolution Network (ESMGCN) is proposed to achieve separate modeling of specific dependencies between each pair of sensors individually, and to describe more accurately non-diffusive polyester fiber production systems. In addition, to address the problem of different degrees of dependencies between different sensor community clusters in large-scale systems, a community graph structure generation method is proposed to construct the graph structure within and between sensor communities, respectively. Finally, a multivariate time series prediction model for the polyester fiber polymerization process is constructed. Experiments are conducted in a real large-scale industrial system, and the results verify the model’s effectiveness.</p></div>","PeriodicalId":50615,"journal":{"name":"Control Engineering Practice","volume":null,"pages":null},"PeriodicalIF":5.4,"publicationDate":"2024-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141731886","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

Model-free based fixed-time control for the uncertain wearable exoskeleton with preset performance 基于无模型的固定时间控制，用于具有预设性能的不确定可穿戴外骨骼

IF 5.4 2区计算机科学

Control Engineering Practice Pub Date : 2024-07-19 DOI: 10.1016/j.conengprac.2024.106011

引用次数: 0

Comparative analysis of control methods for a wind turbine in normal and gusty conditions 正常和阵风条件下风力涡轮机控制方法的比较分析

IF 5.4 2区计算机科学

Control Engineering Practice Pub Date : 2024-07-19 DOI: 10.1016/j.conengprac.2024.106016

{"title":"Comparative analysis of control methods for a wind turbine in normal and gusty conditions","authors":"","doi":"10.1016/j.conengprac.2024.106016","DOIUrl":"10.1016/j.conengprac.2024.106016","url":null,"abstract":"<div><p>This paper provides a thorough evaluation of well-known control algorithms, including proportional–integral (PI), model predictive control (MPC), and H-infinity (<span><math><msub><mrow><mi>H</mi></mrow><mrow><mi>∞</mi></mrow></msub></math></span>) controllers, by implementing them in a full nonlinear wind turbine model under normal wind conditions in below and above-rated wind speeds. The simulation results show that all the controllers perform satisfactorily. This study extends MPC to include a feedforward (FF) loop (FF-MPC) that uses the wind speed information provided by a light detection and ranging (LiDAR) sensor, which measures the upcoming wind (in advance), to improve the overall control performance. The FF-MPC was tested under both normal and anomalous (<em>i.e.</em> gusty) wind conditions. The results were compared with those of the standard feedback MPC (FB-MPC). The results show that the incorporation of the FF loop into the standard FB controller can improve the control performance, which can result in improved reliability and lifespan of the turbine. Furthermore, MPC was augmented with an FF loop over PI and <span><math><msub><mrow><mi>H</mi></mrow><mrow><mi>∞</mi></mrow></msub></math></span> controllers owing to its versatility in handling constraints, nonlinearities, and multiple objectives, along with its inherent capability to incorporate preview wind data. All the controllers are tested using a high-fidelity aeroelastic model (<em>i.e.</em> Bladed by DNV). The use of a Bladed model is common in wind turbine controller design before the application to the real-life wind turbine, and Bladed also allows more realistic simulation when incorporating a LiDAR.</p></div>","PeriodicalId":50615,"journal":{"name":"Control Engineering Practice","volume":null,"pages":null},"PeriodicalIF":5.4,"publicationDate":"2024-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141728637","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

Agent-based model predictive control of soil–crop irrigation with topographical information 利用地形信息对土壤-作物灌溉进行基于代理模型的预测控制

IF 5.4 2区计算机科学

Control Engineering Practice Pub Date : 2024-07-11 DOI: 10.1016/j.conengprac.2024.106012

Jorge Lopez-Jimenez , Nicanor Quijano , Laurent Dewasme , Alain Vande Wouwer

引用次数: 0

Control strategies for mode switching of a large marine two-stroke engine equipped with exhaust gas recirculation and turbocharger cut-off systems 配备废气再循环系统和涡轮增压器切断系统的大型船用二冲程发动机模式切换的控制策略

IF 5.4 2区计算机科学

Control Engineering Practice Pub Date : 2024-07-02 DOI: 10.1016/j.conengprac.2024.106010

Daoyi Lu , Gerasimos Theotokatos , Keying Cui

{"title":"Control strategies for mode switching of a large marine two-stroke engine equipped with exhaust gas recirculation and turbocharger cut-off systems","authors":"Daoyi Lu , Gerasimos Theotokatos , Keying Cui","doi":"10.1016/j.conengprac.2024.106010","DOIUrl":"https://doi.org/10.1016/j.conengprac.2024.106010","url":null,"abstract":"<div><p>To meet the stringent nitrogen oxides emissions regulations, the recent marine two-stroke engines are equipped with exhaust gas recirculation (EGR) systems. Crossing the boundaries of exhaust control areas requires switching between the engine operating modes associated with the activation or deactivation the EGR system, which imposes challenges to the engine operation. This study aims to develop and numerically test effective control strategies for improving the mode switching of marine two-stroke engines with EGR systems. The investigated engine dynamic model is developed by integrating a zero-dimensional thermodynamic model developed in GT-POWER and the control model developed in MATLAB/Simulink. This model is first validated against the experimentally measured engine performance parameters, and subsequently employed to simulate the engine dynamic operation with mode switching. The simulation results are assessed to quantify the impact of several control strategies on the engine performance. The derived perrformannce parameters time variations demonstrate that the deactivation of the EGR branch and the small engine–turbocharger result in exceeding the manufacturer limits at high loads and increasing the fuel consumption. The proposed load-based control strategies, which employ load thresholds and time delays for the control of the EGR and turbocharging systems activation/deactivation, are proved effective, as the engine performance parameters are retained within their limits and fuel consumption penalties are minimised. This study provides insights for developing the control of the marine engines after-treatment systems, hence contributing towards enhancing shipping sustainability.</p></div>","PeriodicalId":50615,"journal":{"name":"Control Engineering Practice","volume":null,"pages":null},"PeriodicalIF":5.4,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0967066124001709/pdfft?md5=baaabc1a3d56a5c831805d866f7ad4b2&pid=1-s2.0-S0967066124001709-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141484014","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0