Control Engineering Practice最新文献_第4页

Trend contrast features-based bearing remaining useful life prediction method 基于趋势对比特征的轴承剩余使用寿命预测方法

IF 5.4 2区计算机科学

Control Engineering Practice Pub Date : 2025-04-24 DOI: 10.1016/j.conengprac.2025.106358

Zefeng Zhu , Zhaomin Lv , Tao Xie

引用次数: 0

Active fault-tolerant path tracking control for autonomous vehicles considering actuator fault and model mismatch 考虑执行器故障和模型失配的自动驾驶汽车主动容错路径跟踪控制

IF 5.4 2区计算机科学

Control Engineering Practice Pub Date : 2025-04-23 DOI: 10.1016/j.conengprac.2025.106362

Yuan Chang , Manjiang Hu , Zeyu Yang , Yougang Bian , Zhiyong Lei , Hongmao Qin

{"title":"Active fault-tolerant path tracking control for autonomous vehicles considering actuator fault and model mismatch","authors":"Yuan Chang , Manjiang Hu , Zeyu Yang , Yougang Bian , Zhiyong Lei , Hongmao Qin","doi":"10.1016/j.conengprac.2025.106362","DOIUrl":"10.1016/j.conengprac.2025.106362","url":null,"abstract":"<div><div>The steering systems of autonomous vehicles may exhibit inherent deviations, resulting in large steady-state path tracking errors. The offline calibrations of the steering systems for a fleet of vehicles are time-consuming. Additionally, the model mismatches during cornering maneuvers compromise the control performance of model-based path tracking algorithms. To address these issues, an active fault-tolerant controller is proposed in this paper, incorporating the framework of nonlinear moving horizon estimation (NMHE) and nonlinear model predictive control (NMPC). The NMHE is employed to estimate the lumped uncertainties stemming from actuator faults and model mismatches, while the NMPC is used for accurate and smooth tracking of the reference path. The proposed controller is capable of online compensation for the steering deviations with less conservatism, significantly improving the path tracking accuracy, and enhancing the capabilities of handling constraints. Finally, the effectiveness of the controller in fault-tolerance and model mismatch correction is validated through simulation tests and real vehicle experiments.</div></div>","PeriodicalId":50615,"journal":{"name":"Control Engineering Practice","volume":"162 ","pages":"Article 106362"},"PeriodicalIF":5.4,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143858862","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

Control method for AC–AC MMC-based pumped storage system 基于交流-交流mmc的抽水蓄能系统控制方法

IF 5.4 2区计算机科学

Control Engineering Practice Pub Date : 2025-04-19 DOI: 10.1016/j.conengprac.2025.106359

Jiali Yu , Xiaoxin Hou , Chaoying Xia , Guodong You , Jixiang Li

{"title":"Control method for AC–AC MMC-based pumped storage system","authors":"Jiali Yu , Xiaoxin Hou , Chaoying Xia , Guodong You , Jixiang Li","doi":"10.1016/j.conengprac.2025.106359","DOIUrl":"10.1016/j.conengprac.2025.106359","url":null,"abstract":"<div><div>Variable speed pumped storage plants play an important role in mitigating power fluctuations caused by renewable energy sources. Among various high-power converter topologies, modular multilevel converter (MMC) has been considered as one of the most promising solutions for pumped storage systems. However, the conventional MMC configurations suffer from serious capacitor voltage fluctuations and common-mode voltage problems. These problems occur in the traditional AC-DC-AC MMC at low motor frequency and persist in the direct AC-AC MMC at high motor frequency, restricting the application of MMC in pumped storage systems. To address these limitations, a direct AC-AC MMC topology is given in this paper. To achieve stable control of the closed-loop system, a nonlinear feedback controller with simple control structure is designed based on Lyapunov theory. Furthermore, normalized parameter design methods are introduced to effectively suppress capacitor voltage fluctuations and common-mode voltage under both ideal and faulty grid conditions. The simulation and experiment results are conducted to verify the effectiveness of the proposed topology and control method.</div></div>","PeriodicalId":50615,"journal":{"name":"Control Engineering Practice","volume":"162 ","pages":"Article 106359"},"PeriodicalIF":5.4,"publicationDate":"2025-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143847730","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

Trajectory tracking and tether tension control of tethered aerial vehicle using Nonlinear Model Predictive Control 基于非线性模型预测控制的系留飞行器轨迹跟踪与系留张力控制

IF 5.4 2区计算机科学

Control Engineering Practice Pub Date : 2025-04-19 DOI: 10.1016/j.conengprac.2025.106346

Vicko Prkačin , Ivana Palunko , Ivan Petrović

引用次数: 0

Intelligent machine learning-based multi-model fusion monitoring: application to industrial physio-chemical systems 基于智能机器学习的多模型融合监测：在工业理化系统中的应用

IF 5.4 2区计算机科学

Control Engineering Practice Pub Date : 2025-04-17 DOI: 10.1016/j.conengprac.2025.106361

Husnain Ali , Rizwan Safdar , Weilong Ding , Yuanqiang Zhou , Yuan Yao , Le Yao , Furong Gao

{"title":"Intelligent machine learning-based multi-model fusion monitoring: application to industrial physio-chemical systems","authors":"Husnain Ali , Rizwan Safdar , Weilong Ding , Yuanqiang Zhou , Yuan Yao , Le Yao , Furong Gao","doi":"10.1016/j.conengprac.2025.106361","DOIUrl":"10.1016/j.conengprac.2025.106361","url":null,"abstract":"<div><div>Over the last twenty years, industrial chemical processes have grown increasingly complex and dynamic due to rapid developments in manufacturing automation and digital sensor technology. Interrelated systems and intricate control processes are safety challenges in industrial processes. Conventional methods are limited to a single scale and presume that the data is static or minimally dynamic. However, these methods cannot handle sophisticated automated industrial processes and dynamically correlated information. Process monitoring is a vital area of study in real-time processes to enhance performance and process safety. This paper presents a novel intelligent machine learning (ML) based multi-model fusion monitoring framework to deal with the safety challenges associated with physio-chemical processes. This framework combines data-driven machine learning methods using distributed canonical correlation analysis (DCCA), autoencoder (AE), and reconstruction-based contribution (RBC). The efficacy of the ML frameworks is assessed and distinguished using an ethanol-water mixture distillation column (DC) system and Three-Phase flow facility benchmark as the case study scenarios. The proposed novel frameworks are validated using advanced methodologies such as stacked-AE (SAE) and long short-term memory-AE (LSTM-AE). The findings demonstrate that the suggested (DCCA-AE) framework is more effective and resilient in detecting anomalies and variable density diagnosis than the current SAE and LSTM-AE methods. This technique allows for robust detection, reliable identification, and diagnosis of abnormal safety situations.</div></div>","PeriodicalId":50615,"journal":{"name":"Control Engineering Practice","volume":"162 ","pages":"Article 106361"},"PeriodicalIF":5.4,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143845219","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

Data driven sliding mode control with minimum operator and its application on a magnetorheological fluid dual clutch 最小算子数据驱动滑模控制及其在磁流变液双离合器上的应用

IF 5.4 2区计算机科学

Control Engineering Practice Pub Date : 2025-04-16 DOI: 10.1016/j.conengprac.2025.106345

Mingdong Hou , Jin Zhao , Yaozhen Han , Haiping Du

{"title":"Data driven sliding mode control with minimum operator and its application on a magnetorheological fluid dual clutch","authors":"Mingdong Hou , Jin Zhao , Yaozhen Han , Haiping Du","doi":"10.1016/j.conengprac.2025.106345","DOIUrl":"10.1016/j.conengprac.2025.106345","url":null,"abstract":"<div><div>Rate-dependent hysteresis and strong non-linearity have posed significant challenges to the modeling and control of magnetorheological fluid devices, such as magnetorheological fluid clutches for electric vehicle transmission systems, where these clutches must operate in transient states for effective torque tracking. Therefore, in this paper, a modified partial-form dynamic linearization (mPFDL) data model is proposed to describe the relationship between input current and output torque of a magnetorheological fluid dual clutch (MFDC), where an adaptive mechanism is designed to achieve real-time estimation of the uncertain parameter in the mPFDL data model, while the disturbances and unmodeled dynamics are collectively treated as a total extended state that is estimated by a discrete-time extended state observer. Based on the mPFDL model, a minimum operator (MO) based discrete time sliding mode controller is designed to control the transmission torque of the MFDC. Furthermore, the proposed MO-based reaching law limits the rate of variation of the sliding mode variable when it is far from the sliding manifold, and the sliding mode variable remains within the quasi-sliding mode domain in a finite number of steps, as demonstrated by the theoretical analysis. Finally, numerical simulations are performed to verify the effectiveness of the proposed control scheme, and experiments based on the MFDC further validate the theoretical findings. The experimental results confirm that the proposed control method can achieve better torque tracking performance than the compared super-twisting algorithm and data-driven control method in both steady and transient states.</div></div>","PeriodicalId":50615,"journal":{"name":"Control Engineering Practice","volume":"162 ","pages":"Article 106345"},"PeriodicalIF":5.4,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143834259","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

A survey on the progression of artificial intelligence techniques in the nonferrous metallurgical industry 有色金属冶金工业人工智能技术发展调查

IF 5.4 2区计算机科学

Control Engineering Practice Pub Date : 2025-04-15 DOI: 10.1016/j.conengprac.2025.106353

Peng Kong, Bei Sun, Yonggang Li, Chunhua Yang, Weihua Gui

{"title":"A survey on the progression of artificial intelligence techniques in the nonferrous metallurgical industry","authors":"Peng Kong, Bei Sun, Yonggang Li, Chunhua Yang, Weihua Gui","doi":"10.1016/j.conengprac.2025.106353","DOIUrl":"10.1016/j.conengprac.2025.106353","url":null,"abstract":"<div><div>Nonferrous metals serve as a material base for economic development. With the increasing focus on production safety, environmental protection, and sustainable resource utilization, nonferrous metal enterprises urgently need intelligent transformation and upgrading to remain competitive in the modern era. This paper concisely reviews the literature concerning modeling, process monitoring, optimization, and control in the nonferrous metallurgical (NFM) industry, including traditional approaches and the development and current state of artificial intelligence (AI) applications. AI is increasingly integrating with the unique characteristics of the NFM processes and playing a crucial role at various stages of production. Additionally, this paper explores future directions of intelligent development in the NFM industry, proposing a framework for intelligent optimization control. This framework encompasses a structured and comprehensive perception of production states, plant-wide cross-level collaborative optimization, and intelligent autonomous control at the device level, thus establishing a foundation for the intelligent transformation of NFM enterprises. In conclusion, integrating AI into the NFM industry is poised to enhance operational efficiency and innovation significantly, driving the industry toward a more sustainable and intelligent future.</div></div>","PeriodicalId":50615,"journal":{"name":"Control Engineering Practice","volume":"162 ","pages":"Article 106353"},"PeriodicalIF":5.4,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143829149","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

Load-sensitive impedance control for resilient force balance in variable displacement electrohydrostatic actuators 可变位移电静液执行器弹性力平衡的负载敏感阻抗控制

IF 5.4 2区计算机科学

Control Engineering Practice Pub Date : 2025-04-15 DOI: 10.1016/j.conengprac.2025.106329

Tangwen Yin , Xiaochun Zhang , Dan Huang

{"title":"Load-sensitive impedance control for resilient force balance in variable displacement electrohydrostatic actuators","authors":"Tangwen Yin , Xiaochun Zhang , Dan Huang","doi":"10.1016/j.conengprac.2025.106329","DOIUrl":"10.1016/j.conengprac.2025.106329","url":null,"abstract":"<div><div>Variable displacement electrohydrostatic actuators (VDEHAs) are critical in aerospace and industrial automation due to their high precision, efficiency, and power density. However, achieving resilient force balance remains a significant challenge, impacting control accuracy and stability. This study introduces a novel load-sensitive impedance control (LSIC) framework to address these issues. The proposed approach integrates data-driven mechatronic load cells for vector force feedback with model-free impedance control devices to dynamically adjust mechanical impedance – specifically, inertia, damping, and stiffness – under varying loads. Experimental results demonstrate that the LSIC/VDEHA system significantly minimizes force fluctuations, enhances actuation efficiency, and ensures smooth and stable operation. System-in-the-loop verification on aileron actuation in large flight vehicles highlights the framework’s ability to maintain resilient force balance while reducing hydraulic flow rates and pressures. This innovative method offers a promising solution for advanced mechatronic systems in aerospace, robotics, and automation, enhancing performance, safety, and energy efficiency.</div></div>","PeriodicalId":50615,"journal":{"name":"Control Engineering Practice","volume":"162 ","pages":"Article 106329"},"PeriodicalIF":5.4,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143828251","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

Proactive management of industrial alarm floods: A reinforcement learning framework for early prediction and operator support 工业报警洪水的主动管理：用于早期预测和操作员支持的强化学习框架

IF 5.4 2区计算机科学

Control Engineering Practice Pub Date : 2025-04-12 DOI: 10.1016/j.conengprac.2025.106341

Md Rezwan Parvez , Mohammad Hossein Roohi , Ziyi Guo , Fangwei Xu

{"title":"Proactive management of industrial alarm floods: A reinforcement learning framework for early prediction and operator support","authors":"Md Rezwan Parvez , Mohammad Hossein Roohi , Ziyi Guo , Fangwei Xu","doi":"10.1016/j.conengprac.2025.106341","DOIUrl":"10.1016/j.conengprac.2025.106341","url":null,"abstract":"<div><div>An industrial alarm flood indicates the emergence of a major problem and requires immediate and effective measures to mitigate the situation. Without essential information on the current and upcoming alarms, it is difficult to respond efficiently, especially when the alarm rate is significantly high. Thus, a reinforcement learning (RL) approach is proposed in this work for early prediction of an industrial alarm flood so as to provide critical decision support to industrial operators in real-time. The proposed method is implemented mainly in the following steps: (1) An alarm flood pattern extraction strategy is adopted to exclude irrelevant alarms and generate potential online scenarios by exploiting the alarm relations in the historical alarm flood sequences; (2) To analyze alarm information effectively, a novel textual vectorization method based on mutual information is proposed; (3) Finally, the early prediction problem is formulated as a partially observable Markov decision process (POMDP) and the double deep Q-network (DDQN) algorithm is adopted, with modifications to the learning process to ensure both accuracy and earliness. The effectiveness of the proposed method is demonstrated using real industrial data from an oil refinery.</div></div>","PeriodicalId":50615,"journal":{"name":"Control Engineering Practice","volume":"161 ","pages":"Article 106341"},"PeriodicalIF":5.4,"publicationDate":"2025-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143820978","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

Dynamically allocated individual pitch control for fatigue load reduction in wind turbines 风力涡轮机疲劳减载的动态分配个体螺距控制

IF 5.4 2区计算机科学

Control Engineering Practice Pub Date : 2025-04-11 DOI: 10.1016/j.conengprac.2025.106357

Kazi Mohsin, Mohammad Odeh, Tri Ngo, Tuhin Das

{"title":"Dynamically allocated individual pitch control for fatigue load reduction in wind turbines","authors":"Kazi Mohsin, Mohammad Odeh, Tri Ngo, Tuhin Das","doi":"10.1016/j.conengprac.2025.106357","DOIUrl":"10.1016/j.conengprac.2025.106357","url":null,"abstract":"<div><div>This article presents multivariable control designs to improve performance and reduce fatigue loads in wind turbines using torque control, Collective Pitch Control (CPC), and Individual Pitch Control (IPC). Two multi-input, multi-output (MIMO) control structures are proposed in this study. The first approach uses force distribution on blades to design the IPC, while the second uses the Relative Gain Array (RGA), which quantifies the level of interactions between inputs and outputs, to design the IPC. Both approaches use the same torque control and CPC. This work emphasizes the second approach, i.e., the RGA-based IPC. A novel aspect of this approach is the dynamic allocation of IPC, which refers to the change in the input–output pairing as a function of the rotor azimuth angle. The frequency-dependent characteristics of this allocation facilitate fatigue load reduction at targeted frequencies. Extensive simulations show that the RGA-based IPC controller outperforms the first controller in reducing cyclic loads on the blade root bending moment, tower side-to-side, and tower fore-aft bending moments at the frequencies of interest. Moreover, it has no detrimental effects on the rotor speed and power generation, which are regulated by the CPC and torque controller. A Control-oriented, Reconfigurable, and Acausal Floating Turbine Simulator (CRAFTS), developed in-house, is used for design, implementation, and evaluation.</div></div>","PeriodicalId":50615,"journal":{"name":"Control Engineering Practice","volume":"161 ","pages":"Article 106357"},"PeriodicalIF":5.4,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143820911","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