ISA transactions最新文献_第2页

Predictive iterative learning control based on averaging technology for networked systems with fading channels and data loss 信道衰落和数据丢失网络系统的预测迭代学习控制。

IF 6.5 2区计算机科学

ISA transactions Pub Date : 2025-07-19 DOI: 10.1016/j.isatra.2025.07.032

Zhenxuan Li , Zhiyang Zhang , Chenkun Yin , Zhongsheng Hou

引用次数: 0

Modularized and hierarchical state estimation strategy of 4WIDEV based on global-local dynamics model decoupling 基于全局-局部动力学模型解耦的4WIDEV模块化分层状态估计策略。

IF 6.5 2区计算机科学

ISA transactions Pub Date : 2025-07-18 DOI: 10.1016/j.isatra.2025.07.026

Te Chen , Zikun Zhang , Xing Xu , Yingfeng Cai , Long Chen , Guowei Dou

{"title":"Modularized and hierarchical state estimation strategy of 4WIDEV based on global-local dynamics model decoupling","authors":"Te Chen , Zikun Zhang , Xing Xu , Yingfeng Cai , Long Chen , Guowei Dou","doi":"10.1016/j.isatra.2025.07.026","DOIUrl":"10.1016/j.isatra.2025.07.026","url":null,"abstract":"<div><div>This study introduces a hierarchically structured estimation strategy for four-wheel independent drive electric vehicles (4WIDEV), employing global-local dynamic model decoupling to achieve high-fidelity state estimation while avoiding reliance on empirical tire models.An electric drive wheel model (EDWM) was established and an unknown input observation equation was constructed using a proportional integral observer (PIO) method, achieving the decoupling between longitudinal tire force and model state variables. Through the local decoupling of the vehicle dynamics model, observation equations for lateral tire forces acting on the front and rear axles were formulated. An unknown input observer (UIO) was subsequently designed to estimate lateral tire forces, accompanied by rigorous stability proofs for the observer's asymptotic convergence.Then, a hierarchical state estimation strategy was proposed based on the strong tracking extended Kalman filter algorithm (STEKF). Simulation analyses and experimental validations collectively demonstrate that the proposed strategy can effectively improve the estimation accuracy of vehicle states.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"166 ","pages":"Pages 309-324"},"PeriodicalIF":6.5,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144719288","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

Design of optimal LMI-LQR based PI controller for modular three-phase quadratic boost converters in wind energy conversion systems to mitigate current harmonics 基于LMI-LQR的风电转换系统模块化三相二次升压变换器PI控制器优化设计。

IF 6.5 2区计算机科学

ISA transactions Pub Date : 2025-07-18 DOI: 10.1016/j.isatra.2025.07.012

K Thirupura Sundari , M.G Umamaheswari

{"title":"Design of optimal LMI-LQR based PI controller for modular three-phase quadratic boost converters in wind energy conversion systems to mitigate current harmonics","authors":"K Thirupura Sundari , M.G Umamaheswari","doi":"10.1016/j.isatra.2025.07.012","DOIUrl":"10.1016/j.isatra.2025.07.012","url":null,"abstract":"<div><div>The article proposes an innovative single-stage modular three-phase Power Factor Correction (PFC) converter featuring fewer current controllers. This technique leverages a practical DC-DC Quadratic Boost Converter (QBC) for PFC in Wind Energy Conversion Systems (WECS). An equivalent circuit with the non-ideal QBC is established and its small-signal model is derived, followed by a cascade control of inner current loops and outer voltage loops. The suggested linear quadratic regulator for linear matrix inequality-based PI control strategy ensures sinusoidal supply currents with a high power factor (PF) and low percentage Total Harmonic Distortion (THD) for line, servo, and regulatory operations, while addressing imbalances in the magnitude of the supply voltage. Additionally, the PFC method regulates the load voltage, and the minimal number of current controllers reduces computational tasks, losses, and overall cost. MATLAB/Simulink is used to simulate the suggested system, which uses the extended symmetrical components approach for reference current generation. The QBC's effectiveness is validated under diverse working conditions using a DSPIC30F2010 controller for a 300 W prototype. The results affirm the efficacy of the proposed technique, showcasing improved efficiency with fewer current controllers.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"166 ","pages":"Pages 496-515"},"PeriodicalIF":6.5,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144736405","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

Secure trajectory planning for UAVs in dynamic target tracking against undetectable sensor and actuator attacks 针对传感器和执行器攻击的无人机动态目标跟踪安全轨迹规划。

IF 6.5 2区计算机科学

ISA transactions Pub Date : 2025-07-16 DOI: 10.1016/j.isatra.2025.07.028

Wei Yue, Xiaoyong Zhang, Zhongchang Liu

引用次数: 0

Synchronization and tracking control strategy of four-wheel independent steering system based on improved model predictive control method 基于改进模型预测控制方法的四轮独立转向系统同步跟踪控制策略。

IF 6.5 2区计算机科学

ISA transactions Pub Date : 2025-07-16 DOI: 10.1016/j.isatra.2025.07.025

Guan Zhou, Zihao Fang, Dejian Li, Yutao Jin, Yuanlong Wang

引用次数: 0

A novel block backstepping-based trajectory tracking control with zero dynamics stability for underactuated overhead cranes 欠驱动桥式起重机零动态稳定块步进轨迹跟踪控制。

IF 6.5 2区计算机科学

ISA transactions Pub Date : 2025-07-16 DOI: 10.1016/j.isatra.2025.07.024

Ning Li , Xiaoping Liu , Cungen Liu , Huanqing Wang , Jiaying Ju , Chengdong Li

{"title":"A novel block backstepping-based trajectory tracking control with zero dynamics stability for underactuated overhead cranes","authors":"Ning Li , Xiaoping Liu , Cungen Liu , Huanqing Wang , Jiaying Ju , Chengdong Li","doi":"10.1016/j.isatra.2025.07.024","DOIUrl":"10.1016/j.isatra.2025.07.024","url":null,"abstract":"<div><div>For underactuated overhead cranes, the load swing angle is not actuated, which makes the control difficulty greatly increased. In order to achieve the goal of anti-swing, many researches have been developed. However, an extremely superior control technology, called backstepping, has not been applied to overhead cranes. In this paper, a block backstepping-based trajectory tracking control scheme for 2-DOF overhead cranes is proposed for the first time. Firstly, a new variable transformation with state coupling function is designed to achieve swing suppression and thereby improve transient performance. Then, in order to enhance steady-state performance, an integral state is introduced into the designed Lyapunov candidate function. Finally, a trajectory tracking controller is proposed by backstepping. Meanwhile, a novel parameter tuning method is developed using pole placement, which saves time and effort in control parameter tuning. Note that the proposed scheme only utilizes backstepping technology and does not use other techniques for additional processing. Via zero dynamics analysis and Lyapunov stability theorems, the stability is rigorously proved. The advantages and robustness of the proposed scheme are explained by the following experimental results: settling time of the trolley is about 5 s, and the steady-state error remains within <span><math><mn>0.5</mn><mspace></mspace><mi>%</mi></math></span>. The load swing angle enters the range of [<span><math><mo>−</mo><mn>0.5</mn></math></span> deg, <span><math><mn>0.5</mn></math></span> deg] in about 4 s.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"166 ","pages":"Pages 379-392"},"PeriodicalIF":6.5,"publicationDate":"2025-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144677065","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

Kernel-based system identification using generalized orthogonal basis functions and meta-heuristic techniques 利用广义正交基函数和元启发式技术的基于核的系统辨识。

IF 6.5 2区计算机科学

ISA transactions Pub Date : 2025-07-16 DOI: 10.1016/j.isatra.2025.07.027

Wenfeng Li , Yang Liu

引用次数: 0

Finite-time active disturbance rejection control scheme for quadrotor attitude tracking 四旋翼姿态跟踪有限时间自抗扰控制方案。

IF 6.5 2区计算机科学

ISA transactions Pub Date : 2025-07-14 DOI: 10.1016/j.isatra.2025.07.019

Taiqi Wang , Yuanqing Xia , Kai Zhao , Minfeng Wei , Wuyi Luo

{"title":"Finite-time active disturbance rejection control scheme for quadrotor attitude tracking","authors":"Taiqi Wang , Yuanqing Xia , Kai Zhao , Minfeng Wei , Wuyi Luo","doi":"10.1016/j.isatra.2025.07.019","DOIUrl":"10.1016/j.isatra.2025.07.019","url":null,"abstract":"<div><div>In this paper, a finite-time active disturbance rejection control (FADRC) framework for quadrotor attitude tracking is presented. The FADRC framework is developed for two cascaded loops (inner-loop and outer-loop) to control the attitude angle and angular velocity, respectively. Two nonlinear extended state observers (NESOs) are devised to actively estimate and compensate for total disturbances, including internal uncertainties and external disturbances. A novel tracking differentiator (TD) is introduced to generate smooth angular speed information, featuring a simpler configuration and only one adjustable parameter, thus enhancing practical applicability. Additionally, a nonlinear control law is formulated to resist disturbances. For the outer-loop, a finite-time controller is designed to significantly enhance the tracking speed and mitigate the effects of tracking errors by ensuring convergence in a finite time, thereby improving the overall system response and robustness. The inner-loop nonlinear controller ensures rapid angular velocity tracking and stable output torques. The convergence of the TD and NESO, as well as the stability of the dual-loop controllers, are rigorously proven using Lyapunov methods. Simulation and experimental results demonstrate that the proposed control scheme achieves precise tracking performance with faster response speed, smaller tracking error, and better disturbance rejection performance compared to the existing methods.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"166 ","pages":"Pages 325-336"},"PeriodicalIF":6.5,"publicationDate":"2025-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144719287","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

Event-triggered distributed state and disturbance estimation for LTI systems using a network of observers 使用观测器网络的LTI系统的事件触发分布式状态和干扰估计。

IF 6.5 2区计算机科学

ISA transactions Pub Date : 2025-07-14 DOI: 10.1016/j.isatra.2025.07.017

Junqi Yang, Dongzheng Wang, Jianfeng Xu, Yantao Chen

引用次数: 0

Probabilistic fuzzy neural network-based indirect adaptive control framework for dynamic systems 基于概率模糊神经网络的动态系统间接自适应控制框架。

IF 6.5 2区计算机科学

ISA transactions Pub Date : 2025-07-14 DOI: 10.1016/j.isatra.2025.07.022

A. Aziz Khater , Eslam M. Gaballah , Mohammad El-Bardini , Ahmad M. El-Nagar

{"title":"Probabilistic fuzzy neural network-based indirect adaptive control framework for dynamic systems","authors":"A. Aziz Khater , Eslam M. Gaballah , Mohammad El-Bardini , Ahmad M. El-Nagar","doi":"10.1016/j.isatra.2025.07.022","DOIUrl":"10.1016/j.isatra.2025.07.022","url":null,"abstract":"<div><div>This paper introduces a probabilistic Takagi-Sugeno-Kang fuzzy neural network (PTSK-FNN) within a reliable indirect adaptive control framework that updates the gains of proportional – integral – derivative (PID) controller. The reasons for introducing this study include effective management of chaotic uncertainties by integrating the probabilistic processing with TSK fuzzy neural system, improved system identification needed for calculating control signals, and a novel law for an online learning algorithm based on the Lyapunov theorem to ensure system stability. The proposed controller requires a sensitivity function derived from the system model, which can be obtained through identification techniques utilizing Wiener model based on PTSK-FNN for modeling both linear and nonlinear dynamics of the system. By dynamically modifying both the structure and parameters of the PTSK-FNNs, the PID controller gains are updated, leading to enhance control performance. This control strategy is implemented for nonlinear dynamic systems and compared with other existing controllers, demonstrating its effectiveness in engineering applications. Simulation and experimental results indicate that the proposed controller significantly outperforms its alternatives in mitigating random noise, external disturbances, and system uncertainties. The proposed controller shows minimum performance indices compared to other published controllers, achieving improved performance by reducing the mean absolute error by 34.2 % in simulations and 38.6 % in experimental results, compared to higher-performing published controllers.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"166 ","pages":"Pages 179-195"},"PeriodicalIF":6.5,"publicationDate":"2025-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144661443","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