ISA transactions最新文献_第3页

Distributed model predictive control for consensus of nonlinear systems via parametric sensitivity. 通过参数灵敏度实现非线性系统共识的分布式模型预测控制。

ISA transactions Pub Date : 2024-11-12 DOI: 10.1016/j.isatra.2024.11.019

Tianyu Yu, Fei Zhao, Zuhua Xu, Jun Zhao, Xi Chen

引用次数: 0

Stability analysis of electromagnetic suspension systems coupled with flexible frames: Modeling, control, analysis and experimentation. 与柔性框架耦合的电磁悬挂系统的稳定性分析：建模、控制、分析和实验。

ISA transactions Pub Date : 2024-11-10 DOI: 10.1016/j.isatra.2024.11.016

Xiaohao Chen, Yi Cao, Miao Li, Attiq Ur Rehman, Junxiong Hu

引用次数: 0

Sequential fusion for multi-rate multi-sensor nonlinear dynamic systems with heavy-tailed noise and missing measurements. 具有重尾噪声和缺失测量的多速率多传感器非线性动态系统的序列融合。

ISA transactions Pub Date : 2024-11-10 DOI: 10.1016/j.isatra.2024.11.005

Guiting Hu, Zhengjiang Zhang, Luping Xu

引用次数: 0

Design, dynamic modeling and testing of a novel MR damper for cable-stayed climbing robots under wind loads. 用于风载荷下斜拉攀爬机器人的新型 MR 阻尼器的设计、动态建模和测试。

ISA transactions Pub Date : 2024-11-09 DOI: 10.1016/j.isatra.2024.10.022

Kaiwei Ma, Fengyu Xu, Yangru Zhou, Laixi Zhang, Guo-Ping Jiang

引用次数: 0

An overhaul cycle performance degradation modeling method for marine gas turbines. 船用燃气轮机大修周期性能退化建模方法。

ISA transactions Pub Date : 2024-11-09 DOI: 10.1016/j.isatra.2024.11.004

Junqi Luan, Yunpeng Cao, Ran Ao, Xiaoyu Han, Shuying Li

引用次数: 0

Off-policy reinforcement-learning-based fault-tolerant H_∞ control for topside separation systems with time-varying uncertainties. 基于非策略强化学习的容错 H∞ 控制，用于具有时变不确定性的顶部分离系统。

ISA transactions Pub Date : 2024-11-09 DOI: 10.1016/j.isatra.2024.11.002

Yuguang Zhang, Juan Wang, Shaobao Li, Xiaoyuan Luo, Xinping Guan

{"title":"Off-policy reinforcement-learning-based fault-tolerant H∞ control for topside separation systems with time-varying uncertainties.","authors":"Yuguang Zhang, Juan Wang, Shaobao Li, Xiaoyuan Luo, Xinping Guan","doi":"10.1016/j.isatra.2024.11.002","DOIUrl":"https://doi.org/10.1016/j.isatra.2024.11.002","url":null,"abstract":"The topside separation system plays a pivotal role in the treatment of produced water within offshore oil and gas production operations. Due to high-humidity and salt-infested marine environments, topside separation systems are susceptible to dynamic model variations and valve faults. In this work, fault-tolerant control (FTC) of topside separation systems subject to structural uncertainties and slugging disturbances is studied. The system is configured as a cascade structure, comprising a water level control subsystem and a pressure-drop-ratio (PDR) control subsystem. A fault-tolerant H∞ control framework is developed to cope with actuator faults and slugging disturbances. To enhance control performance in the presence of actuator faults and model uncertainties while reducing sensitivity to slugging disturbances, the fault-tolerant H∞ control problem for the topside separation system is established as the two-player differential game problem. In addition, a Nash equilibrium solution for the fault-tolerant H∞ control problem is achieved through the solution of the game algebraic Riccati equation (GARE). A model-free approach is presented to implement the proposed fault-tolerant H∞ control method using off-policy reinforcement learning (RL). Simulation studies demonstrate the effectiveness of the solution.","PeriodicalId":94059,"journal":{"name":"ISA transactions","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142690101","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

Quadrotor trajectory tracking using combined stochastic model-free position and DDPG-based attitude control. 利用组合式无随机模型位置控制和基于 DDPG 的姿态控制进行四旋翼飞行器轨迹跟踪。

ISA transactions Pub Date : 2024-11-08 DOI: 10.1016/j.isatra.2024.11.007

Roujin Mousavifard, Khalil Alipour, Mohamad Amin Najafqolian, Payam Zarafshan

引用次数: 0

Adaptive quantized finite-time fault-tolerant control for uncertain multi-input multi-output systems and its application. 不确定多输入多输出系统的自适应量化有限时间容错控制及其应用。

ISA transactions Pub Date : 2024-11-07 DOI: 10.1016/j.isatra.2024.10.018

Yue Sun, Ming Chen, Yu-Lin Gai, Huan-Qing Wang, Kai-Xiang Peng, Li-Bing Wu

{"title":"Adaptive quantized finite-time fault-tolerant control for uncertain multi-input multi-output systems and its application.","authors":"Yue Sun, Ming Chen, Yu-Lin Gai, Huan-Qing Wang, Kai-Xiang Peng, Li-Bing Wu","doi":"10.1016/j.isatra.2024.10.018","DOIUrl":"https://doi.org/10.1016/j.isatra.2024.10.018","url":null,"abstract":"The article proposes a novel state-feedback control method for a multiple-input multiple-output (MIMO) nonlinear system with actuator faults and input quantization. The innovation of the design approach lies in the utilization of fuzzy logic systems (FLSs) to approximate the uncertain intermediate virtual control laws, thereby achieving a simplified virtual control design form. Additionally, finite-time control is employed to enhance the system's response speed. Different from the existing literatures, the adaptive control scheme of partial loss fault gain is integrated with input quantization, which completes the unknown gain estimation and avoids the assumption condition of unknown control gain. The theoretical analysis combined with Lyapunov stability analysis shows that the tracking error can converge regardless of whether the system experiences a fault, while the closed-loop signal remains stably bounded for a finite time. Finally, the simulation results of the quadrotor unmanned aerial vehicle (UAV) attitude system indicate that this control scheme is effective.","PeriodicalId":94059,"journal":{"name":"ISA transactions","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142635070","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 robust motion control for hydraulic load sensitive systems considering displacement dynamic compensation. 考虑位移动态补偿的液压负载敏感系统的自适应鲁棒运动控制。

ISA transactions Pub Date : 2024-11-07 DOI: 10.1016/j.isatra.2024.10.019

Zhongyi Qiu, Xiaochao Liu, Zhenyu Wang, Xinghua Chen, Rui Nie

{"title":"Adaptive robust motion control for hydraulic load sensitive systems considering displacement dynamic compensation.","authors":"Zhongyi Qiu, Xiaochao Liu, Zhenyu Wang, Xinghua Chen, Rui Nie","doi":"10.1016/j.isatra.2024.10.019","DOIUrl":"https://doi.org/10.1016/j.isatra.2024.10.019","url":null,"abstract":"Hydraulic load-sensitive systems (HLSS) are widely used for high power density and energy efficiency. This study introduces an adaptive, energy-efficient HLSS with a valve-controlled variable motor. The system faces challenges from non-linearities, including internal higher-order dynamics due to displacement changes and external unknown disturbances, which hinder precision applications. To address this issue, this study explores HLSS principles to develop an accurate system model. Subsequently, an adaptive robust motion control that considers displacement compensation (DCARC) is proposed using the established model. DCARC can learn unknown parameters online and compensate the model more accurately to improve control accuracy. Experiments show that considering the higher order dynamic effects caused by displacement in the system can improve model accuracy and effectively reduce the burden of parameter adaptation and robust feedback terms. High-precision and energy-efficient HLSS motion is verified and realized in the study. The control accuracy of DCARC is 19.4% higher than that of conventional adaptive robust control (ARC). Under experimental conditions, the proposed system can improve energy efficiency by up to five times compared to valve-controlled fixed displacement motor systems (VFDS).","PeriodicalId":94059,"journal":{"name":"ISA transactions","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142635073","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 RISE-based tracking control of uncertain nonlinear systems: A FAS approach. 基于 RISE 的不确定非线性系统自适应跟踪控制：FAS 方法

ISA transactions Pub Date : 2024-11-07 DOI: 10.1016/j.isatra.2024.10.034

Zhijun Chen, Guangren Duan

{"title":"Adaptive RISE-based tracking control of uncertain nonlinear systems: A FAS approach.","authors":"Zhijun Chen, Guangren Duan","doi":"10.1016/j.isatra.2024.10.034","DOIUrl":"https://doi.org/10.1016/j.isatra.2024.10.034","url":null,"abstract":"A fully actuated system (FAS) approach integrated with adaptive robust integral of the sign of the error (ARISE) feedback control strategy is proposed for multi-input multi-output nonlinear systems in the presence of both external disturbances and parametric uncertainties. Owing to an inability to eliminate unmeasured disturbances and model inaccuracies simultaneously, the existing results based on the FAS approaches are typically limited to the uniformly ultimate boundedness of the tracking errors. To achieve the asymptotic tracking performance confronted with parametric uncertainties and time-varying disturbances, an ARISE feedback controller with desired compensation is synthesized to suppress the adverse effects arising from nonlinearity and uncertainty of the system. The improvements compared to the traditional RISE feedback control are attributed to two aspects: (i) the feedback gains in the RISE term are adjustable-online without having to know the prior bounds of disturbances and their time derivatives; (ii) a desired compensation-based adaptive feedforward term, primarily employing the desired trajectories in place of the measured states, could weaken the underlying interaction between the adaptive compensation and robustness part. A rigorous stability analysis is provided to demonstrate that the system state can asymptotically track a bounded desired trajectory in spite of bounded disturbances and parametric uncertainties. Comparative simulations on an under-actuated planar manipulator, possessing an equivalent multi-order FAS model, have been conducted to verify the effectiveness and merits of the developed controller. Experimental validation on a two-wheeled self-balancing robot is also provided to show the feasibility of the proposed approach.","PeriodicalId":94059,"journal":{"name":"ISA transactions","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142635071","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