Control Engineering Practice最新文献

Signal-Interpreted Coloured Petri Nets: A modelling tool for rapid prototyping in feedback-based control of discrete event systems 信号解释彩色 Petri 网：离散事件系统基于反馈控制的快速原型建模工具

IF 5.4 2区计算机科学

Control Engineering Practice Pub Date : 2024-09-23 DOI: 10.1016/j.conengprac.2024.106099

{"title":"Signal-Interpreted Coloured Petri Nets: A modelling tool for rapid prototyping in feedback-based control of discrete event systems","authors":"","doi":"10.1016/j.conengprac.2024.106099","DOIUrl":"10.1016/j.conengprac.2024.106099","url":null,"abstract":"<div><div>Petri nets (PNs) are typically used for design and verification rather than direct control implementation. In this paper, aligning with the Industry 4.0 paradigm’s focus on flexible and reconfigurable control systems, we propose a modelling tool for rapidly prototyping feedback-based discrete-event control algorithms on programmable controllers such as PLCs or microcontroller boards. This modelling tool, named <em>Signal Interpreted Coloured Petri Nets</em> (SICPNs), aims to combine the formal modelling expressiveness of Coloured PNs with the capabilities of Signal Interpreted PNs, which are specialised in processing plant measurements and determining actuator commands. This contribution involves: (a) the formal definition of SICPN; (b) the presentation in the IEC61131-3 compliant SCL language of the so-called <em>Token Player</em>, a software entity designed to support feedback-based decision-making within the SICPN; (c) the validation of the effectiveness of the proposed formalism in controlling an extended configuration of the FESTO Modular Processing Station (MPS) using an Arduino microcontroller via two-way UART serial communications; (d) the modelling of a Digital Twin of the FESTO MPS testbed. The tests demonstrate that, during transitions, the colour and signal interpretation conditions enable the microcontroller to accurately schedule and dynamically reconfigure control actions while keeping the size of the PN-based controller small relative to the control problem’s complexity.</div></div>","PeriodicalId":50615,"journal":{"name":"Control Engineering Practice","volume":null,"pages":null},"PeriodicalIF":5.4,"publicationDate":"2024-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142312224","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

Output consensus for interconnected heterogeneous systems via a combined model predictive control and integral sliding mode control with application to CSTRs 通过模型预测控制和积分滑模控制相结合的方法实现互联异构系统的输出共识，并将其应用于中央反应器

IF 5.4 2区计算机科学

Control Engineering Practice Pub Date : 2024-09-20 DOI: 10.1016/j.conengprac.2024.106100

引用次数: 0

HFTL-KD: A new heterogeneous federated transfer learning approach for degradation trajectory prediction in large-scale decentralized systems HFTL-KD：用于大规模分散系统退化轨迹预测的新型异构联合迁移学习方法

IF 5.4 2区计算机科学

Control Engineering Practice Pub Date : 2024-09-19 DOI: 10.1016/j.conengprac.2024.106098

{"title":"HFTL-KD: A new heterogeneous federated transfer learning approach for degradation trajectory prediction in large-scale decentralized systems","authors":"","doi":"10.1016/j.conengprac.2024.106098","DOIUrl":"10.1016/j.conengprac.2024.106098","url":null,"abstract":"<div><p>Restrictions arising from the limited training data and privacy preservation make large-scale lithium-ion battery degradation trajectory prediction challenging. In this study, a novel heterogeneous federated transfer learning with knowledge distillation approach is proposed for lithium-ion battery lifetime prediction with scarce training data and privacy concerns. The approach enables each device in large-scale decentralized system to not only own its private data, but also a unique network designed based on its resource constraints. Specifically, the central server first designs its unique network according to the resource constraints of each device, and trains the network on publicly available data with entire degradation cycles, thus avoiding the high cost of collecting abundant degradation cycles. Then, the trained model is transferred to each device for collaborative training, in which the knowledge of heterogeneous models extracted by knowledge distillation is used for communication between the isolated devices, rather than the parameters in conventional federated learning. Extensive real-world datasets are leveraged to verify the effectiveness of the proposed approach. The comparison results demonstrate that the proposed method outperforms seven benchmarks. An ablation study indicates that the approach can achieve satisfactory battery residual life prediction while preserving privacy.</p></div>","PeriodicalId":50615,"journal":{"name":"Control Engineering Practice","volume":null,"pages":null},"PeriodicalIF":5.4,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142271121","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

Closed-loop identification of a MSW grate incinerator using Bayesian Optimization for selecting model inputs and structure 利用贝叶斯优化法选择模型输入和结构，对 MSW 炉排焚化炉进行闭环识别

IF 5.4 2区计算机科学

Control Engineering Practice Pub Date : 2024-09-18 DOI: 10.1016/j.conengprac.2024.106075

{"title":"Closed-loop identification of a MSW grate incinerator using Bayesian Optimization for selecting model inputs and structure","authors":"","doi":"10.1016/j.conengprac.2024.106075","DOIUrl":"10.1016/j.conengprac.2024.106075","url":null,"abstract":"<div><p>The creation of low-order dynamic models for complex industrial systems is complicated by disturbances and limited sensor accuracy. This work presents a system identification procedure that uses machine learning methods and process knowledge to robustly identify a low-order closed-loop model of a municipal solid waste (MSW) grate incineration plant. These types of plants are known for their strong disturbances coming from fuel composition variations. Using Bayesian Optimization, the algorithm both ranks and selects inputs from the available sensor data and chooses the model structure from a broad grey-box model class. This results in accurate low-order models that respect the known physics of the process. Multiple flue gas composition measurements are used as inputs to provide information on the fuel composition. The method is applied and validated using data of an industrial MSW incineration plant and compared against four established methods, of which the resulting models either show unphysical dynamic behaviour or have lower performance than the proposed method. Also on a numerical benchmark, the proposed method outperforms the alternative methods. The obtained MSW incinerator models give excellent predictions and confidence intervals for the steam capacity and intermediate quantities such as supply air flow and flue gas temperature. The identified continuous-time models are fully given, and their step-response dynamics are discussed. The models can be used to develop model-based coordinated unit control schemes for grate incineration plants. The presented method shows great potential for low-order grey-box identification of systems with partial knowledge of the model structure.</p></div>","PeriodicalId":50615,"journal":{"name":"Control Engineering Practice","volume":null,"pages":null},"PeriodicalIF":5.4,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S096706612400234X/pdfft?md5=8796b038ca54c107762b6350dafb8d27&pid=1-s2.0-S096706612400234X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142243712","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

Two-stage spatiotemporal cooperative reentry guidance strategy using transformer and improved beluga whale optimization 利用变压器和改进型白鲸优化的两级时空合作重返大气层制导战略

IF 5.4 2区计算机科学

Control Engineering Practice Pub Date : 2024-09-18 DOI: 10.1016/j.conengprac.2024.106078

{"title":"Two-stage spatiotemporal cooperative reentry guidance strategy using transformer and improved beluga whale optimization","authors":"","doi":"10.1016/j.conengprac.2024.106078","DOIUrl":"10.1016/j.conengprac.2024.106078","url":null,"abstract":"<div><p>This research addresses the challenge of insufficient control margin caused by the coupling of multiple constraints in the cooperative precise reentry guidance of hypersonic vehicles. Drawing inspiration from the concept of spatiotemporal decoupling control, a rapid guidance strategy is developed to ensure precise handling of all constraints, including attack time, attack angle, and trajectory constraints. Initially, during the early phase of gliding flight, the adjustment of the heading angle is conceptualized as a single variable root-solving problem, in relation to the entrance width of the lateral azimuth error corridor. Subsequently, a lateral azimuth error corridor with adaptively narrowing entrance width, coupled with a Transformer network-based bank angle predictor, is incorporated to achieve precise fine-tuning of the heading angle under the soft constraint of velocity. In the later phase of gliding flight, the design of a cooperative guidance law under complex multiple constraints is transformed into a nonlinear rapid optimization problem of control commands. An enhanced beluga whale optimization suited to this guidance task is proposed. Finally, numerical simulations are carried out to validate the effectiveness of the proposed strategy under both nominal and uncertain conditions.</p></div>","PeriodicalId":50615,"journal":{"name":"Control Engineering Practice","volume":null,"pages":null},"PeriodicalIF":5.4,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142243713","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

Multi-agent active multi-target search with intermittent measurements 多代理主动多目标搜索与间歇性测量

IF 5.4 2区计算机科学

Control Engineering Practice Pub Date : 2024-09-18 DOI: 10.1016/j.conengprac.2024.106094

{"title":"Multi-agent active multi-target search with intermittent measurements","authors":"","doi":"10.1016/j.conengprac.2024.106094","DOIUrl":"10.1016/j.conengprac.2024.106094","url":null,"abstract":"<div><p>Consider a multi-agent system that must find an unknown number of static targets at unknown locations as quickly as possible. To estimate the number and positions of targets from noisy and sometimes missing measurements, we use a customized particle-based probability hypothesis density filter. Novel methods are introduced that select waypoints for the agents in a decoupled manner from taking measurements, which allows optimizing over waypoints arbitrarily far in the environment while taking as many measurements as necessary along the way. Optimization involves control cost, target refinement, and exploration of the environment. Measurements are taken either periodically, or only when they are expected to improve target detection, in an event-triggered manner. All this is done in 2D and 3D environments, for a single agent as well as for multiple homogeneous or heterogeneous agents, leading to a comprehensive framework for (Multi-Agent) Active target Search with Intermittent measurements – (MA)ASI. In simulations and real-life experiments involving a Parrot Mambo drone and a TurtleBot3 ground robot, the novel framework works better than baselines including lawnmowers, mutual-information-based methods, active search methods, and our earlier exploration-based techniques.</p></div>","PeriodicalId":50615,"journal":{"name":"Control Engineering Practice","volume":null,"pages":null},"PeriodicalIF":5.4,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0967066124002533/pdfft?md5=78653654583dd04a4d229c6b4aeec997&pid=1-s2.0-S0967066124002533-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142243711","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

An operating zone model for safety and efficiency monitoring of power generation units in thermal power plants 用于火力发电厂发电设备安全和效率监测的运行区模型

IF 5.4 2区计算机科学

Control Engineering Practice Pub Date : 2024-09-18 DOI: 10.1016/j.conengprac.2024.106101

{"title":"An operating zone model for safety and efficiency monitoring of power generation units in thermal power plants","authors":"","doi":"10.1016/j.conengprac.2024.106101","DOIUrl":"10.1016/j.conengprac.2024.106101","url":null,"abstract":"<div><p>Safe and efficient operations of thermal power plants become increasingly important, especially in compensating for electricity supply fluctuations in renewable energy. This paper proposes a method to build an operating zone model for safety and efficiency monitoring of power generation units in thermal power plants. The operating zone is a high-dimensional geometric space formed by all steady-state operating points in safe conditions of the coal flow rate, steam valve position, steam pressure and active power. Those operating points are obtained based on allowable variation ranges of process variables and mechanistic models describing the relationships among process variables. The main technical challenge is how to measure uncertainties of mechanistic models estimated from historical data disturbed by noticeable measurement noise. Bayesian theory and goodness-of-fit tests are exploited to tackle this challenge by yielding probability density functions of model parameters. A performance index is defined based on the operating zone model to assess the safety and efficiency of power generation units. Industrial case studies at a large-scale thermal power plant are provided to illustrate the effectiveness of the proposed method.</p></div>","PeriodicalId":50615,"journal":{"name":"Control Engineering Practice","volume":null,"pages":null},"PeriodicalIF":5.4,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142243714","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

Maneuver synchronization of networked rotating platforms using historical nominal command 使用历史名义指令实现网络旋转平台的操纵同步

IF 5.4 2区计算机科学

Control Engineering Practice Pub Date : 2024-09-13 DOI: 10.1016/j.conengprac.2024.106081

{"title":"Maneuver synchronization of networked rotating platforms using historical nominal command","authors":"","doi":"10.1016/j.conengprac.2024.106081","DOIUrl":"10.1016/j.conengprac.2024.106081","url":null,"abstract":"<div><p>Despite the diverse potential applications of networked rotating platforms (NRP), the problem of robust cooperative control of NRP has been rarely investigated. In this paper, a robust synchronized control solution with an explicit parameter-tuning mechanism on comprehensive performance is proposed for NRP. The main features of our solution are two-fold: (a) the historical nominal commands (HNC) of neighbors are used to actively enhance the system cohesiveness performance, (b) an uncertainty and disturbance estimator (UDE) is incorporated into the controller to actively reject disturbances. The idea behind the design is to force the actual error dynamics of each controlled platform to approximate an ideal model equation. As a direct advantage of this design, the performance regulation is reduced to the tuning of the parameters of ideal model and the parameters determining the approximation accuracy. A parameter condition is derived under which the system stability is robust to the actively introduced delay. The relationship between the ultimate bounds of tracking errors and the parameter of UDE is characterized using an inequality. An experimental platform is constructed to verify performance of the controller using several Quanser AEROs and laser pointers. Simulation and experimental results have demonstrated: (a) the effectiveness of the stability condition; (b) the convenience and efficiency in regulating the system performance. Using the proposed controller, the projected points maneuver as an organic whole with excellent cohesiveness and robustness.</p></div>","PeriodicalId":50615,"journal":{"name":"Control Engineering Practice","volume":null,"pages":null},"PeriodicalIF":5.4,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142229228","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

Internal and external disturbances rejection control for pitch frame of horizontal hydraulic flight motion simulator 水平液压飞行运动模拟器俯仰框架的内外干扰抑制控制

IF 5.4 2区计算机科学

Control Engineering Practice Pub Date : 2024-09-09 DOI: 10.1016/j.conengprac.2024.106077

{"title":"Internal and external disturbances rejection control for pitch frame of horizontal hydraulic flight motion simulator","authors":"","doi":"10.1016/j.conengprac.2024.106077","DOIUrl":"10.1016/j.conengprac.2024.106077","url":null,"abstract":"<div><p>The horizontal hydraulic flight motion simulator (HHFMS) is preferred in the situations of large power and high dynamic for the hardware-in-the-loop simulation of the aerospace field. However, multiple modeling uncertainties prevent HHFMS from receiving accurate simulation of aircraft attitude. Particularly, due to suffering from serious and complex disturbance, pitch frame of HHFMS is more difficult to achieve high-precision control compared with yaw frame and roll frame. Aiming at this issue, through defining the disturbance only related to states of pitch frame itself as internal disturbance and the one also related to states of other frames as external disturbance, in view of theory and application, internal and external disturbances rejection control (IEDRC) was investigated for pitch frame. In the proposed control method, by means of backstepping, nonlinear disturbance observers (NDOs) were designed to handle internal disturbance from parametric uncertainties involving hydraulic flow, as well as friction torque and gravity torque when yaw frame is at zero position and load is replaced. Additionally, robust integral of the sign of the error (RISE) was assigned to suppress external disturbance composed of coupling torque, as well as the variations of inertia torque and gravity torque caused by position change of yaw frame. Here, RISE can assist NDO to overcome its limitation in dealing with the time-varying disturbance, and NDO can alleviate chattering risk resulted from the sign function in RISE. The two complement each other. As a result, via rejecting internal and external disturbances caused by hydraulic parameters, load replacement and simultaneous movement of three frames, IEDRC can not only guarantee an excellent control performance, but also avoid the huge workload spent on the acquisition of model parameters. Finally, comparative experiments including a few Cases were conducted, which demonstrates the overall performance of the developed control method.</p></div>","PeriodicalId":50615,"journal":{"name":"Control Engineering Practice","volume":null,"pages":null},"PeriodicalIF":5.4,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142158450","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

Covert attacks for primary loops of PHWR nuclear power unit based on SOS-LSTM 基于 SOS-LSTM 的 PHWR 核电机组一次回路隐蔽攻击

IF 5.4 2区计算机科学

Control Engineering Practice Pub Date : 2024-09-09 DOI: 10.1016/j.conengprac.2024.106082

{"title":"Covert attacks for primary loops of PHWR nuclear power unit based on SOS-LSTM","authors":"","doi":"10.1016/j.conengprac.2024.106082","DOIUrl":"10.1016/j.conengprac.2024.106082","url":null,"abstract":"<div><p>The ongoing advancement of industry and technology has led industrial control systems to evolve towards integration. System structures become increasingly complex, which renders them increasingly vulnerable to external attacks. Due to their clandestine and destructive character, covert attacks pose a significant threat to the secure operation of nuclear power unit control systems. In order to optimize the performance of control systems for nuclear power units, it is important to study the damage process caused by covert attacks on these systems. Facing the problem of obtaining high-precision estimation models of attack targets for covert attacks, this paper proposes a model estimation method based on long and short-term memory (LSTM) neural network and symbiotic organisms search (SOS) algorithm, which takes the feedback controller output and input signals of the attacking target as the dataset of the LSTM neural network, and optimizes the network parameters of the LSTM neural network using SOS algorithm to improve the accuracy of the model, and designs the covert attacker by obtaining the estimation model of the attacked area through training. The root mean square error of the estimation model for the primary loop of the nuclear power unit has been verified by comparative experiments to be reduced by at least 93.59%, 96.52%, and 91.11%, respectively, compared with the other methods. Loop experiment results concerning the covert attack for the primary loop of nuclear power unit illustrate that this attack method successfully meets the predefined objectives while maintaining high levels of stealthiness.</p></div>","PeriodicalId":50615,"journal":{"name":"Control Engineering Practice","volume":null,"pages":null},"PeriodicalIF":5.4,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142158451","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