IET Control Theory and Applications最新文献_第9页

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

IF 2.6 4区计算机科学

IET Control Theory and 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":"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":50382,"journal":{"name":"IET Control Theory and Applications","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2024-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.12626","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139847078","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

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

IF 2.6 4区计算机科学

IET Control Theory and 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":"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":50382,"journal":{"name":"IET Control Theory and Applications","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2024-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.12629","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139853022","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","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

IF 2.6 4区计算机科学

IET Control Theory and 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

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

IF 2.2 4区计算机科学

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

Şükrü Ünver, Erman Selim, Enver Tatlıcıoğlu, Erkan Zergeroğlu, Musa Alcı

引用次数: 0

Interpolation of positive matrices by quantum-inspired optimal control 通过量子启发优化控制插补正矩阵

IF 2.6 4区计算机科学

IET Control Theory and Applications Pub Date : 2024-01-30 DOI: 10.1049/cth2.12625

Chen Jiang, Yu Pan, Yi Yang, Daoyi Dong

引用次数: 0

Learning passive policies with virtual energy tanks in robotics 在机器人中利用虚拟能源罐学习被动策略

IF 2.6 4区计算机科学

IET Control Theory and Applications Pub Date : 2024-01-25 DOI: 10.1049/cth2.12558

Riccardo Zanella, Gianluca Palli, Stefano Stramigioli, Federico Califano

{"title":"Learning passive policies with virtual energy tanks in robotics","authors":"Riccardo Zanella, Gianluca Palli, Stefano Stramigioli, Federico Califano","doi":"10.1049/cth2.12558","DOIUrl":"https://doi.org/10.1049/cth2.12558","url":null,"abstract":"Within a robotic context, the techniques of passivity-based control and reinforcement learning are merged with the goal of eliminating some of their reciprocal weaknesses, as well as inducing novel promising features in the resulting framework. The contribution is framed in a scenario where passivity-based control is implemented by means of virtual energy tanks, a control technique developed to achieve closed-loop passivity for any arbitrary control input. Albeit the latter result is heavily used, it is discussed why its practical application at its current stage remains rather limited, which makes contact with the highly debated claim that passivity-based techniques are associated with a loss of performance. The use of reinforcement learning allows to learn a control policy that can be passivized using the energy tank architecture, combining the versatility of learning approaches and the system theoretic properties which can be inferred due to the energy tanks. Simulations show the validity of the approach, as well as novel interesting research directions in energy-aware robotics.","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2024-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.12558","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140104545","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Adaptive multi-level differential coupling control strategy for dual-motor servo synchronous system based on global backstepping super-twisting control 基于全局反步进超扭曲控制的双电机伺服同步系统自适应多级差分耦合控制策略

IF 2.2 4区计算机科学

IET Control Theory and Applications Pub Date : 2024-01-23 DOI: 10.1049/cth2.12613

Taoyu Wang, Shiyan Sun

{"title":"Adaptive multi-level differential coupling control strategy for dual-motor servo synchronous system based on global backstepping super-twisting control","authors":"Taoyu Wang, Shiyan Sun","doi":"10.1049/cth2.12613","DOIUrl":"10.1049/cth2.12613","url":null,"abstract":"A new dual-motor servo steering system with improved reliability and safety is proposed. But, despite the advantages of the proposed servo system, it is strongly coupled, non-linear and multivariable, where the biggest challenge lies in its tracking and synchronization control. To improve the tracking and synchronization control performance of the proposed servo system, a tracking and synchronization control strategy based on backstepping super-twisting control and multi-level differential coupling is presented. First, a parallel model of the dual-motor is established. Then, backstepping and super-twisting control algorithms are integrated while adaptively optimizing key parameters to ensure the robustness and tracking performance of each motor. After that, an angular synchronization controller with multi-level differential coupling and backstepping super-twisting algorithm is proposed to compensate for the synchronization error of the dual-motor system caused by parameter uncertainty. Finally, the simulation is carried out using Simulink to verify the effectiveness of the proposed control strategy.","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.12613","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139603974","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Variable step-size estimation over UDP-based wireless networks with application to a hydrogen-powered UAV 基于 UDP 的无线网络上的可变步长估计，应用于氢动力无人机

IF 2.6 4区计算机科学

IET Control Theory and Applications Pub Date : 2024-01-15 DOI: 10.1049/cth2.12621

Shi Liang, Chenxiao Cai, Min Xia, Hong Lin

引用次数: 0

Fault estimation for nonlinear uncertain time-delay systems based on unknown input observer 基于未知输入观测器的非线性不确定时延系统故障估计

IF 2.6 4区计算机科学

IET Control Theory and Applications Pub Date : 2024-01-12 DOI: 10.1049/cth2.12620

Ataollah Azarbani, Ahmad Fakharian, Mohammad Bagher Menhaj

引用次数: 0

A detection and rerouting mechanism for platoon control of non-linear autonomous vehicles under denial of service attacks 拒绝服务攻击下非线性自动驾驶车辆排控制的检测和重新路由机制

IF 2.6 4区计算机科学

IET Control Theory and Applications Pub Date : 2024-01-09 DOI: 10.1049/cth2.12614

Xiaofei Zhang, Haiping Du, Zhijuan Jia, Yuchu He, Yanyan Yang

{"title":"A detection and rerouting mechanism for platoon control of non-linear autonomous vehicles under denial of service attacks","authors":"Xiaofei Zhang, Haiping Du, Zhijuan Jia, Yuchu He, Yanyan Yang","doi":"10.1049/cth2.12614","DOIUrl":"10.1049/cth2.12614","url":null,"abstract":"This paper presents a novel detection and rerouting mechanism for distributed adaptive platoon control of non-linear autonomous connected vehicles under denial of service (DoS) attacks. DoS attacks can cause delays or losses of data packets due to blocked communication channels, leading to reducing platoon performance or even collisions among vehicles. To tackle this issue, the proposed mechanism detects and reroutes communication topology depending on the real-time topology and the number of link failures. Real-time detection divides the scenario of DoS attacks into three parts. According to the different scenarios, rerouting mechanisms will be utilized. A controller adapted to real-time variable communication topology is also designed in this scheme. The adjacency matrix of the real-time communication topology generated by the rerouting mechanism is used to update the controller so that the platoon can remain in a stable state without being affected by DoS attacks. In addition, the sliding mode controller and the observer are designed by solving linear matrix inequalities, and the platoon stability and internal stability are proven. Numerical simulation studies demonstrate that the proposed mechanism and control design can reduce the vehicle state estimate error and platoon-tracking error to ideal states under DoS attacks. The proposed method solves the problem that the existing methods have not considered the number of link failures and the inability to restore communication when the communication topology is paralyzed.","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2024-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.12614","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139443633","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0