IET Control Theory & Applications最新文献

Hybrid finite‐time fault‐tolerant consensus control of non‐linear fractional order multi‐agent systems based on fault detection and estimation 基于故障检测和估计的非线性分数阶多代理系统的混合有限时间容错共识控制

IET Control Theory & Applications Pub Date : 2024-02-14 DOI: 10.1049/cth2.12627

Mahmood Nazifi, M. Pourgholi

引用次数: 0

A leader‐follower communication protocol for motion planning in partially known environments under temporal logic specifications 时间逻辑规范下部分已知环境中运动规划的领导者-追随者通信协议

IET Control Theory & Applications Pub Date : 2024-02-13 DOI: 10.1049/cth2.12636

Xiaohong Yan, Yingying Liu, Renwen Chen, Wei Duan

{"title":"A leader‐follower communication protocol for motion planning in partially known environments under temporal logic specifications","authors":"Xiaohong Yan, Yingying Liu, Renwen Chen, Wei Duan","doi":"10.1049/cth2.12636","DOIUrl":"https://doi.org/10.1049/cth2.12636","url":null,"abstract":"This paper considers the problem of communication protocols between leaders and its followers for motion planning in an initially partially known environment. In this setting, the leader observes the environment information to satisfy its own local objective and and the follower completes its own local objective by estimating the states of the leader and communicating with the leader to update its knowledge about the environment when it is necessary, where the local objectives can be expressed in temporal logic. A verifier construction is built first to contain all possible communication protocols between the leaders and the followers. Then, a two‐step synthesis procedure is proposed to capture all feasible communication protocol that satisfy the local objectives for the leader and follower, respectively. In the first step, a sub‐verifier is synthesized to satisfy the objective of the follower. In the second step, based on the obtained sub‐verifier, an iterative algorithm is proposed to extract communication protocols such that the objectives of the leader and follower are satisfied, respectively. A running example is provided to illustrate the proposed procedures.","PeriodicalId":502998,"journal":{"name":"IET Control Theory & Applications","volume":"41 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139779753","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

Exploring solar energy systems: A comparative study of optimization algorithms, MPPTs, and controllers 探索太阳能系统：优化算法、MPPT 和控制器的比较研究

IET Control Theory & Applications Pub Date : 2024-02-10 DOI: 10.1049/cth2.12626

Aykut Fatih Güven

{"title":"Exploring solar energy systems: A comparative study of optimization algorithms, MPPTs, and controllers","authors":"Aykut Fatih Güven","doi":"10.1049/cth2.12626","DOIUrl":"https://doi.org/10.1049/cth2.12626","url":null,"abstract":"This study elucidates the use of optimization algorithms to identify the controller parameters employed in adjusting the current and voltage values of loads powered by solar energy systems and battery groups. Parameters for these controllers were independently derived using a combination of ant colony optimization with Levy flight, hybrid firefly‐particle swarm optimization, hybrid gravitation search algorithm‐particle swarm optimization, alongside the implementation of Jaya and whale optimization algorithms. The results from each method were juxtaposed for thorough analysis. In addition, three distinct Maximum Power Point Tracker (MPPT) algorithms were employed in the system: perturbation and observation, open circuit voltage, and incremental conductance (IC). To assess the system’s adaptability to real‐world conditions, it was tested against varying temperatures and sunlight levels. Moreover, potential changes in the loads were considered by varying the load. The efficacy of the controllers was examined by altering both the environment and load. The effectiveness of the controllers was examined by referring to the integral of time‐weighted absolute error value. The system was simulated using MATLAB/Simulink software. This study demonstrates that the fractional‐order PID controller achieves the most effective results, the Jaya algorithm provides the best controller parameters, and the IC technique exhibits the highest performance in MPPT.","PeriodicalId":502998,"journal":{"name":"IET Control Theory & Applications","volume":" 1016","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139787135","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

Stability analysis of discrete‐time systems with a time‐varying delay via improved methods 通过改进方法对具有时变延迟的离散时间系统进行稳定性分析

IET Control Theory & Applications Pub Date : 2024-02-08 DOI: 10.1049/cth2.12632

Hongjia Sha, Ju H. Park, Jun Chen, Mingbo Zhu, Chengjie Nan

引用次数: 0

Koopman fault‐tolerant model predictive control Koopman 容错模型预测控制

IET Control Theory & Applications Pub Date : 2024-02-08 DOI: 10.1049/cth2.12629

Mohammadhosein Bakhtiaridoust, Meysam Yadegar, Fatemeh Jahangiri

{"title":"Koopman fault‐tolerant model predictive control","authors":"Mohammadhosein Bakhtiaridoust, Meysam Yadegar, Fatemeh Jahangiri","doi":"10.1049/cth2.12629","DOIUrl":"https://doi.org/10.1049/cth2.12629","url":null,"abstract":"This paper introduces a novel data‐driven approach to develop a fault‐tolerant model predictive controller (MPC) for non‐linear systems. By adopting a Koopman operator‐theoretic perspective, the proposed method leverages historical data from the system to construct a data‐driven model that captures the non‐linear behaviour and fault characteristics. The fault influence is addressed through an online estimation of a time‐varying Koopman predictor, which allows for adjusting the MPC control law to counteract the fault effects. This estimation is performed in a higher dimensional Koopman feature space, where the dynamics behave linearly. As a result, the non‐linear fault‐tolerant MPC optimization problem can be replaced with a more practical and feasible linear time‐varying one using the approximated Koopman predictor. Moreover, by incorporating the online update procedure, the time‐varying Koopman predictor can represent the dynamics of the faulty system. Hence, the controller can adapt and compensate for the faults in real‐time, integrating the fault diagnosis module in the MPC framework and eliminating the need for a separate fault detection unit. Finally, the efficacy of the proposed approach is demonstrated through case study results, which highlight the ability of the controller to mitigate faults and maintain desired system behaviour.","PeriodicalId":502998,"journal":{"name":"IET Control Theory & Applications","volume":" 15","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139793208","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 control of BLDC driven robot manipulators in task space 任务空间中 BLDC 驱动机器人机械手的自适应控制

IET Control Theory & Applications Pub Date : 2024-02-06 DOI: 10.1049/cth2.12631

Şükrü Ünver, Erman Selim, E. Tatlıcıoğlu, E. Zergeroğlu, M. Alcı

引用次数: 0

IET Control Theory &amp; Applications最新文献

IET Control Theory & Applications最新文献