ISA transactions最新文献

Memory-based dynamic event-triggered secure control of active suspension systems against deception attacks. 基于记忆的动态事件触发主动悬架系统抗欺骗攻击安全控制。

ISA transactions Pub Date : 2025-06-17 DOI: 10.1016/j.isatra.2025.06.007

Wangrui Cheng, Tingting Yin, Zhou Gu

引用次数: 0

Dynamic formation tracking and fault-tolerant control of multi-agent systems based on distance and topology reconstruction methods. 基于距离和拓扑重构方法的多智能体系统动态编队跟踪与容错控制。

ISA transactions Pub Date : 2025-06-17 DOI: 10.1016/j.isatra.2025.06.006

Lu Liu, Cui Yu, Yonghua Wang, Jinglong Wen, Shuaishuai Kong, Yuhang Ma, Dan Liu, Peng Shi, Chenyang Xue

引用次数: 0

Nonlinear self-triggered MPC without terminal conditions for trajectory tracking. 无终止条件的非线性自触发MPC轨迹跟踪。

ISA transactions Pub Date : 2025-06-16 DOI: 10.1016/j.isatra.2025.06.005

Hai Zhao, Hongjiu Yang, Yuanqing Xia, Jinhui Zhang

引用次数: 0

Intelligent energy adaptive control of loader shoveling system. 装载机铲土系统智能能量自适应控制。

ISA transactions Pub Date : 2025-06-16 DOI: 10.1016/j.isatra.2025.06.021

Bingwei Cao, Changhao Mu, Jiaqi Dong, Guangliang Tian, Yuqi Wang

{"title":"Intelligent energy adaptive control of loader shoveling system.","authors":"Bingwei Cao, Changhao Mu, Jiaqi Dong, Guangliang Tian, Yuqi Wang","doi":"10.1016/j.isatra.2025.06.021","DOIUrl":"https://doi.org/10.1016/j.isatra.2025.06.021","url":null,"abstract":"Loaders are often faced with various working objects during the shoveling process. The differences in working resistance and its time-varying unpredictability when shoveling different objects are the main causes of high energy consumption during the shoveling stage. In this paper, through the analysis of the shoveling process, the influence of the compacted layer on the working resistance is obtained. The constructed Discrete Element Method (DEM) simulation model is used to elucidate that the timely lifting of the boom can have a destructive effect on the compacted layer. Moreover, considering the diversity of working objects, a study was carried out on the effect of different boom lifting ranges on the destruction of the compacted layer. The loader shoveling system's intelligent Energy Adaptive Control (EAC) strategy is constructed by integrating the material recognition model based on the Back Propagation (BP) neural network algorithm. This control strategy can output the set pilot pressure according to the material type, realize the intelligent adjustment of the lifting range of the boom with the change of material type, and reduce the working resistance during the shoveling stage. The peak engine power consumed while shoveling sand, gravel, and boulders decreased by 20.6 %, 19.1 %, and 10.9 %, respectively, improving the energy utilization rate of the loader shoveling system when facing different working objects.","PeriodicalId":94059,"journal":{"name":"ISA transactions","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144319062","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Flow pulsation compensation based composite adaptive active disturbance rejection control for electro-hydrostatic actuators. 基于流量脉动补偿的电动静液执行器复合自适应自抗扰控制。

ISA transactions Pub Date : 2025-06-11 DOI: 10.1016/j.isatra.2025.06.014

Yaowen Ge, Xiaowei Yang, Weilin Zhu, Wenxiang Deng, Jianyong Yao

{"title":"Flow pulsation compensation based composite adaptive active disturbance rejection control for electro-hydrostatic actuators.","authors":"Yaowen Ge, Xiaowei Yang, Weilin Zhu, Wenxiang Deng, Jianyong Yao","doi":"10.1016/j.isatra.2025.06.014","DOIUrl":"https://doi.org/10.1016/j.isatra.2025.06.014","url":null,"abstract":"Due to the residual pressure accumulated during the reciprocating movement of the plunger pump, there is a deviation between the flow pulsation and the theoretical calculation value. Current nonlinear control methods for the electro-hydrostatic actuator (EHA) often oversimplify and compensate for flow pulsation linearly, neglecting its nonlinear characteristics and deviation effects. This approach increases matching uncertainties and amplifies noise due to higher control gains, thus limiting the improvement of control performance. To address this issue, this paper proposes a composite adaptive disturbance rejection control method based on flow pulsation compensation for the EHA. This method equates the flow pulsation model of the pump to a combination of a theoretical flow pulsation control input term and a bounded disturbance term (the difference between the theoretical and actual flow pulsation), followed by the design of a composite adaptive law to handle parameter uncertainties, and the design of the expanded state observers based on position and pressure signals to estimate and compensate for the uncertainties nonlinearly. Finally, the effectiveness of the proposed method is verified by comparing with other control methods through experiments.","PeriodicalId":94059,"journal":{"name":"ISA transactions","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144304106","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Solving a class of resource allocation problem under dynamic constraints: A predefined-time distributed optimization scheme. 求解一类动态约束下的资源分配问题：一种预定义时间分布式优化方案。

ISA transactions Pub Date : 2025-06-09 DOI: 10.1016/j.isatra.2025.05.045

Chuxiong Su, Zhongxu Chen, Zhengyuan Zhu, Hao Dai, Jing Chang

引用次数: 0

Voltage tracking and regulation of vehicle PEMFC system under low load condition based on fuzzy LQG hybrid strategy. 基于模糊LQG混合策略的汽车PEMFC系统低负荷电压跟踪与调节。

ISA transactions Pub Date : 2025-06-08 DOI: 10.1016/j.isatra.2025.06.008

Ze Liu, Sichuan Xu, Baitao Zhang, Sida Guo

引用次数: 0

A self-sensing framework for weak fault detection of planetary gearbox. 行星齿轮箱微弱故障检测的自感知框架。

ISA transactions Pub Date : 2025-06-08 DOI: 10.1016/j.isatra.2025.06.009

Dexin Chen, Ming Zhao, Shudong Ou, Sen Li, Xiaolong Han

{"title":"A self-sensing framework for weak fault detection of planetary gearbox.","authors":"Dexin Chen, Ming Zhao, Shudong Ou, Sen Li, Xiaolong Han","doi":"10.1016/j.isatra.2025.06.009","DOIUrl":"https://doi.org/10.1016/j.isatra.2025.06.009","url":null,"abstract":"Planetary gearbox fault detection has attracted wide attention due to the planetary gearbox's key role in modern electro-mechanic equipment. However, traditional fault detection technologies still heavily rely on additional sensors. The resulting enormous cost of sensors restricts the application of those technologies. Given this situation, a self-sensing fault detection framework to explore the weak fault impulses of the planetary gearbox is presented without additional sensors. In this framework, we first capture the preliminary signals from the servo control systems. Then, the hole control model of the motor driving planetary gearbox is constructed. After this step, the feasibility of fault detection for the planetary gearbox through the motor servo control signals is investigated. With the measured servo control signals, a multi-signal assisting adaptive time synchronous averaging method is first proposed to explore fault impulses. This method first introduces a periodic enhanced Gini to select optimal parameters adaptively. Finally, experiments on a weak fault of three components in the planetary gearbox are carried out separately, certifying our framework's validation of planetary gearbox fault detection. This framework hopes to provide a novel scheme for the weak fault self-sensing of planetary gearboxes.","PeriodicalId":94059,"journal":{"name":"ISA transactions","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144277144","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Adaptive PI nonlinear cooperative control for motor cluster. 运动集群的自适应PI非线性协同控制。

ISA transactions Pub Date : 2025-06-07 DOI: 10.1016/j.isatra.2025.05.047

Yiting Chen, Yushen Wu, Kairui Chen, Jianhui Wang, Zian Wang

{"title":"Adaptive PI nonlinear cooperative control for motor cluster.","authors":"Yiting Chen, Yushen Wu, Kairui Chen, Jianhui Wang, Zian Wang","doi":"10.1016/j.isatra.2025.05.047","DOIUrl":"https://doi.org/10.1016/j.isatra.2025.05.047","url":null,"abstract":"To address the effects of nonlinearities and uncertainties in the speed regulation of permanent magnet synchronous motors (PMSMs), an adaptive PI nonlinear control strategy is introduced. First, a nonlinear system model is developed using the PMSM mathematical model, and an adaptive PI nonlinear control approach is designed. Numerical simulations are conducted to demonstrate that this control method effectively tracks the system's desired values. Then, through a group of comparative simulation experiments, the comparison effect of the designed adaptive PI nonlinear control method and the traditional PI control method is analyzed and compared. Additionally, four PMSM collaborative control system models, including the speed tracking and speed synchronization control structures, are constructed. Finally, a simulation model for a cooperative PMSM control system is developed to evaluate the system's speed tracking capability and the synchronization between multiple motors. The results show that in the designed motor cluster cooperative control system, the PMSM motor cluster using adaptive PI nonlinear control method can achieve cooperative control in speed tracking and speed synchronization, and can maintain stable operation against nonlinear problems and unknown disturbances.","PeriodicalId":94059,"journal":{"name":"ISA transactions","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144295547","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Novel semi-supervised sparse stacked autoencoder integrated with local linear embedding for industrial soft sensing. 基于局部线性嵌入的工业软测量半监督稀疏堆叠自编码器。

ISA transactions Pub Date : 2025-06-04 DOI: 10.1016/j.isatra.2025.05.044

Yan-Lin He, Yu Jiang, Hui-Hui Gao, Yuan Xu, Qun-Xiong Zhu

{"title":"Novel semi-supervised sparse stacked autoencoder integrated with local linear embedding for industrial soft sensing.","authors":"Yan-Lin He, Yu Jiang, Hui-Hui Gao, Yuan Xu, Qun-Xiong Zhu","doi":"10.1016/j.isatra.2025.05.044","DOIUrl":"https://doi.org/10.1016/j.isatra.2025.05.044","url":null,"abstract":"Data-driven industrial soft sensor modeling techniques have been widely applied in predicting key variables in complex industrial processes. However, with industrial processes becoming increasingly intricate, the data they produce exhibit characteristics such as strong temporal dependencies, high dimensionality, and local structures, posing significant challenges for soft sensing. To address these issues, this paper proposes novel Semi-Supervised Sparse Stacked Autoencoder integrated with the Local Linear Embedding algorithm (SS-SAE-LLE). Unlike traditional autoencoders (AE), which capture hierarchical data features by minimizing global fitting error, SS-SAE-LLE simultaneously accounts for the spatio-temporal characteristics of the data through the local linear embedding algorithm. Moreover, it incorporates supervised tuning by leveraging labeled data and training with a semi-supervised learning framework, further improving prediction accuracy. To evaluate the feasibility of the proposed method, experiments are conducted on PTA solvent and SRU system datasets. The simulation results demonstrate that SS-SAE-LLE achieves higher prediction accuracy than other models, highlighting its applicability in the field of industrial soft sensor modeling.","PeriodicalId":94059,"journal":{"name":"ISA transactions","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144295548","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0