Feng Jin , Canguang Yang , Xiaoxue Wang , Jun Zhao , Wei Wang
{"title":"A scheduling method for blast furnace gas system in steel industry based on a modified generative adversarial network","authors":"Feng Jin , Canguang Yang , Xiaoxue Wang , Jun Zhao , Wei Wang","doi":"10.1016/j.conengprac.2025.106275","DOIUrl":"10.1016/j.conengprac.2025.106275","url":null,"abstract":"<div><div>Blast furnace gas (BFG) is a crucial secondary energy for the manufacturing process of the steel industry and its efficient utilization is the cornerstone of energy savings and carbon emissions reduction. However, current energy scheduling operation mostly relies on human experience, which is lacking of effectiveness and economy for unknown scenarios (working conditions). In this study, a scheduling method based on a modified generative adversarial network (GAN) is proposed. The state characteristics, which are represented by equal-length information granules, are extracted from the time series of the influenced variables that consisting of a scheduling scenario, and the experience-based scheduling rules are constructed to identify the appropriate scheduling moment. Then, a novel generation framework is built, in which the generator is established by employing multiple GANs to avoid the negative influence of different distribution features on a single discriminator. Finally, a scheduling solution for the corresponding moment is calculated by matching the generated scenarios with the actual one. A series of experiments by using the data coming from a steel enterprise are carried out for verification, and the results show that the scenarios generated via the proposed method are consistent with the actual ones, and the solutions are effective when facing with such kinds of scheduling problems under unknown scenarios.</div></div>","PeriodicalId":50615,"journal":{"name":"Control Engineering Practice","volume":"158 ","pages":"Article 106275"},"PeriodicalIF":5.4,"publicationDate":"2025-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143422551","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}
Futao Li , Zhongbin Wang , Lei Si , Xiaoyu Zou , Dong Wei , Sen Zhang , Jialiang Dai , Xuesong Wang
{"title":"Numerical research on continuous adjustment and compensation technology under floor cutting trajectory distortion of shearer","authors":"Futao Li , Zhongbin Wang , Lei Si , Xiaoyu Zou , Dong Wei , Sen Zhang , Jialiang Dai , Xuesong Wang","doi":"10.1016/j.conengprac.2025.106276","DOIUrl":"10.1016/j.conengprac.2025.106276","url":null,"abstract":"<div><div>Ensuring the flatness of the scraper conveyor is essential for drum height adjustment. However, there have been no studies on drum height adjustment based on floor distortion. Therefore, a continuous adjustment compensation strategy based on floor distortion is proposed. First, the mechanism and influence of floor distortion are analyzed using dynamic simulation software. Subsequently, a mathematical model for the drum height adjustment is developed, and an SMC controller is designed. The response time and tracking capabilities of the system are validated using three typical signals. Finally, a co-simulation platform integrating RecurDyn, AMESim, and Simulink is constructed to enable real-time adjustments of the drum height and traction speed. Simulation results indicate that the maximum absolute error and average absolute error are 6.23 mm and 2.59 mm, respectively, with a velocity of 20 m/min, demonstrating the achievability of the proposed continuous adjustment compensation strategy based on floor distortion.</div></div>","PeriodicalId":50615,"journal":{"name":"Control Engineering Practice","volume":"158 ","pages":"Article 106276"},"PeriodicalIF":5.4,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143386555","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}
{"title":"Reward analysis for participation in ancillary services through coordinated control of EVs and distributed EMSs","authors":"Yusuke Muramatsu , Sinkichi Inagaki , Takuma Yamaguchi , Takumi Shibuya , Kenji Hirata , Akira Ito , Tatsuya Suzuki","doi":"10.1016/j.conengprac.2025.106245","DOIUrl":"10.1016/j.conengprac.2025.106245","url":null,"abstract":"<div><div>This paper proposes a method for a community consisting of energy management systems (EMSs) that own electric vehicles (EVs) to participate in the frequency regulation market for ancillary services via an aggregator. The process comprises Problem A: calculating a 24-hour profile of the community’s bidding capacity, and Problem B: tracking control of charge/discharge for EVs parked in each EMS according to regulatory signals transmitted by the transmission system operator (TSO). Each problem is formulated in MIQP and is proven to be equivalent to QP under certain conditions. Furthermore, each EMS’s reward for participating in ancillary services is derived from the relaxed Lagrangian of Problem B. Based on this reward, a strategy is proposed for determining the binding price and whether to participate in the auction, based on the expected state of supply and demand in the power grid. Finally, the simulation results show the rewards and calculation times for each EMS, demonstrating the usefulness of the bidding price strategy.</div></div>","PeriodicalId":50615,"journal":{"name":"Control Engineering Practice","volume":"157 ","pages":"Article 106245"},"PeriodicalIF":5.4,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143378399","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}
{"title":"Robust adaptive predefined time prescribed performance attitude control for spacecraft","authors":"Srianish Vutukuri, Radhakant Padhi","doi":"10.1016/j.conengprac.2025.106271","DOIUrl":"10.1016/j.conengprac.2025.106271","url":null,"abstract":"<div><div>This article presents a robust adaptive control approach for achieving high-precision attitude control in spacecraft pointing applications. The proposed strategy ensures reference attitude tracking within a predefined time, despite initial state variation and practical challenges such as parametric uncertainties, unknown disturbances, time-varying inertia, actuator saturation, and faults. Additionally, the attitude pointing errors are guaranteed to meet prescribed performance bounds in both transient and steady-state accuracy. This is achieved by constraining the pointing errors to follow a novel predefined time prescribed performance function (PT-PPF), designed in advance to satisfy pointing requirements. The time-varying attitude constraints are enforced using a barrier Lyapunov function (BLF)-based control law, synthesized through the backstepping and dynamic surface control technique. Stability of the proposed controller is rigorously analyzed using Lyapunov theory. The effectiveness of the control law is demonstrated in a high-precision Sun-pointing scenario for a spacecraft in a Sun–Earth <span><math><msub><mrow><mi>L</mi></mrow><mrow><mn>1</mn></mrow></msub></math></span> halo orbit, with realistic sensor noise and state feedback provided by an extended Kalman filter.</div></div>","PeriodicalId":50615,"journal":{"name":"Control Engineering Practice","volume":"157 ","pages":"Article 106271"},"PeriodicalIF":5.4,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143349921","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}
Shuxuan Zeng , Xin Cheng , Shuai Tan , Xiayi Xu , Qingchao Jiang , Kang Li
{"title":"UDA-ROT: A cross-domain fault diagnosis method for large-scale systems","authors":"Shuxuan Zeng , Xin Cheng , Shuai Tan , Xiayi Xu , Qingchao Jiang , Kang Li","doi":"10.1016/j.conengprac.2025.106268","DOIUrl":"10.1016/j.conengprac.2025.106268","url":null,"abstract":"<div><div>Large-scale process industries frequently operate under multiple working conditions. These conditions share similar process technologies, operational principles, and failure mechanisms. Fault diagnosis for different working conditions can Fault diagnosis across these different conditions can be achieved by using programs with a unified label space for both source and target domains. Universal Domain Adaptation based on Reweighted Optimal Transport (UDA-ROT) is proposed for cross-domain fault diagnosis tasks. Firstly, the optimal transport theory is employed to characterize the differences between the source and target domains, in order to identify the unknown classes of the target domain and the private classes of the source domain. The inter-domain adaptation of public classes is achieved through a domain adversarial network. Secondly, a reweighting mechanism is devised relying on the domain adversarial output, in order to refine the optimal transport cost matrix and ensure more precise transport alignment. Finally, the global and local features of the target domain are fully explored to learn the optimal transport problem from the target samples to their prototypes, in order to encourage interclass separability and intraclass consistency of the target clusters. The proposed method provides an effective solution for large-scale systems fault diagnosis.</div></div>","PeriodicalId":50615,"journal":{"name":"Control Engineering Practice","volume":"157 ","pages":"Article 106268"},"PeriodicalIF":5.4,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143349404","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}
{"title":"Continuous Control-Set Model-Predictive Control with stability guarantee for the PWM-VSC","authors":"Juan-Camilo Oyuela-Ocampo , Alejandro Garcés-Ruiz , Santiago Sanchez-Acevedo , Kjell Ljøkelsøy , Salvatore D’Arco","doi":"10.1016/j.conengprac.2025.106246","DOIUrl":"10.1016/j.conengprac.2025.106246","url":null,"abstract":"<div><div>The presence of power electronics converters has become more and more dominant in power systems and this is posing stricter requirements for their controls in terms of stability and performance. The class of Model Predictive Controls (MPC) is particularly well suited for power electronics converters for its inherent ability to incorporate constraints while ensuring high dynamic performance. However, conventional approaches to guarantee stability may complicate the optimal control problem to the extent of making it unrealizable. This paper presents a Continuous Control-Set Model Predictive Control (CCS-MPC) for the Pulse-Width Modulated Voltage Source Converters (PWM-VSC). The bilinear structure of the discrete-time dynamic model is used to obtain a convex optimization problem that ensures a unique and global optimum solution in each step. Moreover, the stability is guaranteed via a discrete-time Lyapunov function derived directly from the Karush–Kuhn–Tucker (KKT) conditions. The proposed control shows a simple implementation with remarkable stability, performance, and clear advantages over the conventional design approach. These properties have been validated both in numerical simulations and experimentally on a 60 kVA converter.</div></div>","PeriodicalId":50615,"journal":{"name":"Control Engineering Practice","volume":"157 ","pages":"Article 106246"},"PeriodicalIF":5.4,"publicationDate":"2025-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143143389","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}
Luca Patanè , Salvatore Graziani , Maria Gabriella Xibilia
{"title":"Identification of finite-time delay and regressors for the design of soft sensors in the presence of input collinearity","authors":"Luca Patanè , Salvatore Graziani , Maria Gabriella Xibilia","doi":"10.1016/j.conengprac.2025.106267","DOIUrl":"10.1016/j.conengprac.2025.106267","url":null,"abstract":"<div><div>Soft sensors (SSs) play an important role in Industry 4.0 by providing estimates of process variables when conventional sensors are impractical or unavailable. The design of SSs requires estimating the possible output finite-time delay, e.g. due to the measurement process or transport phenomena, and selecting the correct model regressors. In this context, this paper presents a new method called multiple correlation delay and regressor selection (MC-DRS), which can be used to simultaneously identify the output finite-time delay and the regressors for dynamic models in the class of finite impulse-response models. The method, which belongs to the class of filter approaches, uses data stored in historical databases and solves problems caused by the collinearity of the inputs. The MC-DRS has a low computational complexity and outperforms existing model-agnostic methods such as correlation-based methods (Pearson, Kendall, Spearman and distance correlations), maximal information coefficient, Lipshitz quotients and minimum redundancy maximum relevance algorithm. Synthetic case studies and an industrial benchmark validate its effectiveness and underline its advantages in SS design for Industry 4.0 applications. In detail, the results obtained show that the proposed method was able to detect the correct finite-time delay and the number of regressors in 100% of the case studies. None of the other methods were able to correctly identify both system parameters. Among these methods, the distance correlation was able to detect the finite-time delay in 50% of the cases, while the Lipshitz quotients were able to detect the number of regressors in 50% of the cases.</div></div>","PeriodicalId":50615,"journal":{"name":"Control Engineering Practice","volume":"157 ","pages":"Article 106267"},"PeriodicalIF":5.4,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143143300","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}
{"title":"Control method and parametric robustness analysis of PMSM driving spiral power spring based on incremental backstepping control","authors":"Yang Yu , Qianhui Zhang , Zongzhe Yu , Qiwen Pang","doi":"10.1016/j.conengprac.2025.106266","DOIUrl":"10.1016/j.conengprac.2025.106266","url":null,"abstract":"<div><div>Permanent magnet synchronous motor (PMSM) with simple structure and high ratio of torque to inertia is used as the energy conversion device to tighten or release spiral power spring (SPS) in spiral spring energy storage (SSES) system. For simultaneous variations of torque and inertia of SPS and nonlinear characteristics of multivariable and strong coupling of PMSM in the operation of SSES system, current incremental backstepping controller is devised through Taylor series expansion based on the built mathematical model of SSES system and designed speed backstepping controller. The stability of the control approach and the robustness of implicit and explicit model parameters are investigated, and the control gains in incremental backstepping control (IBC) are determined. Theoretical analysis indicates that implicit model parameters uncertainty has no effect on the control performance in any case, and explicit model parameters uncertainty hardly affects system performance under IBC with appropriate control gains. The simulation and experimental results show that PMSM in IBC can track the references more accurately and quickly, compared with other three control algorithms. The dynamic tracking performance of speed and current are improved even in an abrupt change of the reference speed, which proves that the proposed control method has strong stability and robustness.</div></div>","PeriodicalId":50615,"journal":{"name":"Control Engineering Practice","volume":"157 ","pages":"Article 106266"},"PeriodicalIF":5.4,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143143302","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}
Javier Pliego-Jiménez , Miguel Sidón-Ayala , César Cruz-Hernadez , Marco A. Arteaga
{"title":"On the attitude consensus of rigid bodies using exponential coordinates","authors":"Javier Pliego-Jiménez , Miguel Sidón-Ayala , César Cruz-Hernadez , Marco A. Arteaga","doi":"10.1016/j.conengprac.2025.106262","DOIUrl":"10.1016/j.conengprac.2025.106262","url":null,"abstract":"<div><div>Consensus is an emergent behavior that occurs when the robots or agents of a robotic network reach an agreement and converge to a common state. Consensus is essential in many multi-robot coordination tasks. This paper addresses the attitude consensus problem in a network of fully actuated rigid bodies. We propose two consensus control laws based on the exponential coordinates of rotation. The first controller uses absolute attitude measurements, whereas the second one employs relative measurements. Both control algorithms avoid potential singularities of the exponential coordinates and achieve almost global asymptotic stability. Under certain conditions on the network topology, the proposed consensus protocols work for either bidirectional and unidirectional communication channels. Finally, we provide numerical simulations and experimental results to assess the performance of the proposed control laws.</div></div>","PeriodicalId":50615,"journal":{"name":"Control Engineering Practice","volume":"157 ","pages":"Article 106262"},"PeriodicalIF":5.4,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143143293","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}
Bernard T. Agyeman , Benjamin Decardi-Nelson , Jinfeng Liu , Sirish L. Shah
{"title":"A semi-centralized multi-agent RL framework for efficient irrigation scheduling","authors":"Bernard T. Agyeman , Benjamin Decardi-Nelson , Jinfeng Liu , Sirish L. Shah","doi":"10.1016/j.conengprac.2024.106183","DOIUrl":"10.1016/j.conengprac.2024.106183","url":null,"abstract":"<div><div>Efficient water management in agriculture is essential for addressing the growing freshwater scarcity crisis. Multi-Agent Reinforcement Learning (MARL) has emerged as a promising method for solving daily irrigation scheduling problems in spatially variable fields, where management zones are employed to account for field variability. To enhance the application of MARL to address daily irrigation scheduling in large-scale fields with significant spatial variation, this study proposes a Semi-Centralized MARL (SCMARL) framework. The SCMARL framework adopts a hierarchical structure, decomposing the daily irrigation scheduling problem into two levels of decision-making. At the top level, a centralized coordinator agent determines irrigation timing, which is modeled as a discrete variable, based on field-wide soil moisture data, crop conditions, and weather forecasts. At the lower level, decentralized local agents use local soil moisture, crop, and weather information to determine the appropriate irrigation amounts for each management zone. To address the issue of non-stationarity in this framework, a state augmentation technique is employed, wherein the coordinator’s decision is incorporated into the decision-making process of the local agents. The SCMARL framework, which leverages the Proximal Policy Optimization algorithm for training the agents, is evaluated on a large-scale field in Lethbridge, Canada, and compared with an existing MARL irrigation scheduling approach. The results demonstrate improved performance, achieving a 4.0% reduction in water use and a 6.3% increase in irrigation water use efficiency.</div></div>","PeriodicalId":50615,"journal":{"name":"Control Engineering Practice","volume":"155 ","pages":"Article 106183"},"PeriodicalIF":5.4,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143176191","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}