Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering最新文献_第3页

On the designing of robust dynamic observers for continuous-time systems in T-S fuzzy model with interval time-varying delays 论为具有区间时变延迟的 T-S 模糊模型连续时间系统设计鲁棒动态观测器

IF 1.6 4区计算机科学

Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering Pub Date : 2024-07-25 DOI: 10.1177/09596518241262059

Ghali Naami, Mohamed Ouahi, Abdelhamid Rabhi, Fernando Tadeo, Dainius Udris

引用次数: 0

Observer-based adaptive fuzzy control of stabilized platform in rotary steerable system with input saturation and output constraint 具有输入饱和度和输出约束的旋转转向系统中稳定平台的基于观测器的自适应模糊控制

IF 1.6 4区计算机科学

Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering Pub Date : 2024-07-25 DOI: 10.1177/09596518241256144

Min Wan, Jiaru Song, Guorong Wang

引用次数: 0

Fixed-time disturbance observer-based funnel control for controllable excitation linear synchronous motor with state constraints 基于固定时间扰动观测器的漏斗控制，用于带状态约束的可控励磁线性同步电机

IF 1.6 4区计算机科学

Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering Pub Date : 2024-07-25 DOI: 10.1177/09596518241256701

Zelai Xu, Yipeng Lan, Cheng Lei

{"title":"Fixed-time disturbance observer-based funnel control for controllable excitation linear synchronous motor with state constraints","authors":"Zelai Xu, Yipeng Lan, Cheng Lei","doi":"10.1177/09596518241256701","DOIUrl":"https://doi.org/10.1177/09596518241256701","url":null,"abstract":"This paper proposes a fixed-time disturbance observer-based funnel control method for a controllable excitation linear synchronous motor (CELSM) with state constraints and disturbances. This approach simultaneously resolves the issues of prescribed tracking performance and state constraints, taking into account disturbances. We employ a fixed-time disturbance observer (DO) to estimate both matched and mismatched disturbances. Additionally, we design a modified funnel variable to confine the tracking error within a prescribed region and the singularity problem is avoided. An integral barrier Lyapunov function (iBLF) is utilized to directly tackle state constraints. Furthermore, we employ a fixed-time differentiator (FTD) to address the “explosion of complexity” issue in backstepping control. Theoretical analysis demonstrates that the tracking error asymptotically converges to the origin within a prescribed region while satisfying state constraints. Finally, simulation results demonstrate the efficacy of the proposed method.","PeriodicalId":20638,"journal":{"name":"Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141781684","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

Adaptive trajectory tracking control of underwater salvage vehicle based on full-state constraint 基于全状态约束的水下打捞器自适应轨迹跟踪控制

IF 1.6 4区计算机科学

Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering Pub Date : 2024-07-25 DOI: 10.1177/09596518241262503

Wenyi Tan, Yan Zhang, Qiang Zhang, Yancai Hu, Yang Liu

引用次数: 0

Finite time non-singular terminal synergistic control of hydraulic servo system considering time-varying disturbance 考虑时变扰动的液压伺服系统的有限时间非矢量终端协同控制

IF 1.6 4区计算机科学

Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering Pub Date : 2024-06-24 DOI: 10.1177/09596518241256016

Xin Zhou, Zhangbao Xu, Xu Yang

{"title":"Finite time non-singular terminal synergistic control of hydraulic servo system considering time-varying disturbance","authors":"Xin Zhou, Zhangbao Xu, Xu Yang","doi":"10.1177/09596518241256016","DOIUrl":"https://doi.org/10.1177/09596518241256016","url":null,"abstract":"This paper introduces a novel control strategy combining a hybrid nonlinear disturbance observer with a finite-time synergistic control approach for hydraulic servo systems, focusing on compensating time-varying disturbances and suppresses chattering. Recognizing the critical challenges posed by these disturbances and the chattering phenomenon in hydraulic servo systems, our work offers significant advancements in enhancing system robustness and control precision. Through meticulous classification and handling of matched and unmatched disturbances, the study unveils a dual-channel finite-time disturbance observer capable of simultaneously addressing both disturbance types with high accuracy, particularly focusing on the often overlooked and challenging to observe friction effects. Key contributions include the pioneering integration of cooperative control theory with sliding mode control, employing fractional-order terms to minimize chattering, thereby improving system stability. The experimental evaluation underlines the proposed controller’s superior performance over traditional control strategies, including PID, TSMC, and SMC, under both low and high-frequency operational conditions. Notably, the proposed FTNTSC controller demonstrates exceptional robustness and effectiveness, with significantly lower performance degradation when transitioning from low to high-frequency conditions compared to its counterparts.","PeriodicalId":20638,"journal":{"name":"Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2024-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141505448","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

Adaptive consensus control of uncertain nonlinear multi-agent systems with communication delays and relative output information 具有通信延迟和相对输出信息的不确定非线性多代理系统的自适应共识控制

IF 1.6 4区计算机科学

Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering Pub Date : 2024-06-03 DOI: 10.1177/09596518241255161

Mengqi Zhang, Gang Wang, Chaoli Wang

引用次数: 0

An iterative interval estimation approach to nonlinear discrete-time systems 非线性离散时间系统的迭代区间估计方法

IF 1.6 4区计算机科学

Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering Pub Date : 2024-05-31 DOI: 10.1177/09596518241249876

Tu Zhang, Guobao Zhang, Yongming Huang

引用次数: 0

Distributed l2−l∞ filtering over wireless sensors based on adaptive event triggering 基于自适应事件触发的无线传感器分布式 l2-l∞ 滤波

IF 1.6 4区计算机科学

Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering Pub Date : 2024-05-24 DOI: 10.1177/09596518241247864

Zhongqi Li, Fengzeng Zhu, Ancai Zhang, Guochen Pang

{"title":"Distributed l2−l∞ filtering over wireless sensors based on adaptive event triggering","authors":"Zhongqi Li, Fengzeng Zhu, Ancai Zhang, Guochen Pang","doi":"10.1177/09596518241247864","DOIUrl":"https://doi.org/10.1177/09596518241247864","url":null,"abstract":"This paper investigates the design problem of a set of distributed filters. These adaptive event-triggered (AET) filters have the [Formula: see text] property and are suitable for sensor networks characterized by random measurement data loss and dynamic topology switching. In a distributed filtering network, each local filter estimates the system’s state not only relying on the node’s individual information but also using information from neighboring nodes in the network topology. The adaptive event triggering condition is determined by the combination of the latest release data of the filter itself, the estimated value of the current moment, and the latest release data of the neighboring nodes. The event triggering mechanism adopts a threshold adaptive adjustment scheme, which dynamically changes the threshold parameter according to the filtering error under the premise of guaranteeing the filter performance, thus maximally saving the network communication resources. Initially, we used a binary sequence to describe the random loss of sensor measurements, and a Markov chain is used to describe the switching of the filtering network topology. Secondly, a Lyapunov function is created to examine the [Formula: see text] performance index of the filtering error system and investigate its mean square exponential stability. Subsequently, the distributed filter is formulated, and its parameters are determined using the linear matrix inequality approach. Ultimately, the validity of the proposed method is substantiated through numerical illustrations.","PeriodicalId":20638,"journal":{"name":"Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2024-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141102857","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

Energy consumption forecast model of CNC machine tools based on support vector regression optimized by improved artificial hummingbird algorithm 基于改进人工蜂鸟算法优化的支持向量回归的数控机床能耗预测模型

IF 1.6 4区计算机科学

Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering Pub Date : 2024-05-23 DOI: 10.1177/09596518241247861

Jidong Du, Yan Wang, Zhicheng Ji

{"title":"Energy consumption forecast model of CNC machine tools based on support vector regression optimized by improved artificial hummingbird algorithm","authors":"Jidong Du, Yan Wang, Zhicheng Ji","doi":"10.1177/09596518241247861","DOIUrl":"https://doi.org/10.1177/09596518241247861","url":null,"abstract":"With the development of the manufacturing industry, energy consumption is growing rapidly, which makes the energy crisis and environmental problems become more and more serious. CNC machine tools play an essential role and are the primary energy consumption devices in the manufacturing industry. The accurate prediction of machine tool energy consumption can provide support for energy production plans and reduce energy waste. This paper proposes a novel energy consumption prediction model based on support vector regression (SVR) optimized by an improved artificial hummingbird algorithm (IAHA). Firstly, as the artificial hummingbird algorithm (AHA) may easily get trapped in a local optimum, an improved AHA based on chaotic mapping and local backtracking exploitation strategy is proposed. The chaotic mapping is used to initialize individual positions, which is good for maintaining population diversity. The local backtracking exploitation strategy is employed to improve the local optimization ability. The effectiveness and feasibility of the IAHA algorithm have been verified through 12 benchmark functions. Then, the IAHA algorithm is employed to optimize the parameters of the SVR, and the IAHA-SVR energy consumption prediction model is established. Finally, the effectiveness and feasibility of the IAHA-SVR model are verified through a case study.","PeriodicalId":20638,"journal":{"name":"Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2024-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141106847","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

Bond graph realizations of state space linear time-invariant multivariable descriptions 状态空间线性时变多变量描述的债券图实现

IF 1.6 4区计算机科学

Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering Pub Date : 2024-05-23 DOI: 10.1177/09596518241244817

René Galindo Orozco

引用次数: 0