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A motor fault diagnosis using hybrid binary differential evolution algorithm and whale optimization algorithm with storage space
IF 2.2 4区 计算机科学
IET Control Theory and Applications Pub Date : 2025-01-18 DOI: 10.1049/cth2.12783
Chun-Yao Lee, Truong-An Le, Tzu-Hao Chu, Shih-Che Hsu
{"title":"A motor fault diagnosis using hybrid binary differential evolution algorithm and whale optimization algorithm with storage space","authors":"Chun-Yao Lee,&nbsp;Truong-An Le,&nbsp;Tzu-Hao Chu,&nbsp;Shih-Che Hsu","doi":"10.1049/cth2.12783","DOIUrl":"https://doi.org/10.1049/cth2.12783","url":null,"abstract":"<p>The most common cause of mechanical failure is bearing failure, and the characteristics of each failure correspond to a certain degree of severity. This paper proposes a fault diagnosis model for detecting motor bearings. The model uses three steps: feature extraction, feature selection, and classification. In feature extraction, empirical mode decomposition, fast Fourier transform, and envelope analysis extract important features from the signals measuring the motor. In feature selection, a binary differential evolution and binary whale algorithm are developed and the storage space is increased to eliminate irrelevant features again. Finally, KNN and SVM are used to determine the stability of the bearing fault diagnosis model.</p>","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":"19 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.12783","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143115775","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
VSDRL: A robust and accurate unmanned aerial vehicle autonomous landing scheme
IF 2.2 4区 计算机科学
IET Control Theory and Applications Pub Date : 2025-01-16 DOI: 10.1049/cth2.70002
Dechao Chen, Chentong Shi, Xiaofeng Pan, Jie Jin, Shuai Li
{"title":"VSDRL: A robust and accurate unmanned aerial vehicle autonomous landing scheme","authors":"Dechao Chen,&nbsp;Chentong Shi,&nbsp;Xiaofeng Pan,&nbsp;Jie Jin,&nbsp;Shuai Li","doi":"10.1049/cth2.70002","DOIUrl":"https://doi.org/10.1049/cth2.70002","url":null,"abstract":"<p>Visually assisted unmanned aerial vehicle (UAV) autonomous landing has drawn a lot of interest as a vital technology with the quick development of UAV systems. From the perspective of robustness, a visual servoing disturbance rejection landing (VSDRL) scheme based on fractional-order linear active disturbance rejection control is novelly proposed to achieve the disturbance-resistant landing. The proposed VSDRL scheme is constructed by two modules: (i) A visual positioning algorithm combining YOLOv5 with Kalman filtering to solve the occlusion problem in the visual positioning module obtaining the relative position relationship; (ii) On the basis of linear active disturbance rejection control, fractional order is introduced to improve the antidisturbance ability and response speed. Theoretical analysis, computer simulations and real UAV experiments all verify the effectiveness and superiority of the proposed VSDRL scheme.</p>","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":"19 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.70002","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143115408","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
Passivity-based event-triggered frequency control in power system using dynamic pricing
IF 2.2 4区 计算机科学
IET Control Theory and Applications Pub Date : 2025-01-13 DOI: 10.1049/cth2.12742
Yasutomo Shibata, Heng Kang, Toru Namerikawa
{"title":"Passivity-based event-triggered frequency control in power system using dynamic pricing","authors":"Yasutomo Shibata,&nbsp;Heng Kang,&nbsp;Toru Namerikawa","doi":"10.1049/cth2.12742","DOIUrl":"https://doi.org/10.1049/cth2.12742","url":null,"abstract":"<p>The integration of renewable energy resources in modern power systems promotes flexible demand response but poses challenges to power balance and frequency stability due to their intermittent generation. To address this problem, this study deals with the frequency control of power system in the presence of demand responses. The dynamic electricity pricing scheme enabling both demand response participants and suppliers to contribute to the frequency regulation via their own decision-making process is proposed. The main concern in the controller design is the integration of physical and human systems on the same timescale, encompassing controllers based on frequency dynamics and dynamic pricing. Therefore, event-triggered conditions are proposed to decrease the communication frequency while ensuring system stability, leveraging the passivity property of the system. Under the proposed event-triggered conditions, the authors clearly demonstrate the asymptotic stability around the equilibrium point of the entire system. Furthermore, a numerical simulation using a four areas power network system is performed, confirming the effectiveness of the proposed control scheme and the stability of the system.</p>","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":"19 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.12742","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143114707","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
Distributed H ∞ $H_infty$ control for roller kiln temperature based on adaptive dynamic programming
IF 2.2 4区 计算机科学
IET Control Theory and Applications Pub Date : 2025-01-10 DOI: 10.1049/cth2.12785
Zeng Luo, Ning Chen, Jiayao Chen, Biao Luo, Binyan Li, Weihua Gui
{"title":"Distributed \u0000 \u0000 \u0000 H\u0000 ∞\u0000 \u0000 $H_infty$\u0000 control for roller kiln temperature based on adaptive dynamic programming","authors":"Zeng Luo,&nbsp;Ning Chen,&nbsp;Jiayao Chen,&nbsp;Biao Luo,&nbsp;Binyan Li,&nbsp;Weihua Gui","doi":"10.1049/cth2.12785","DOIUrl":"https://doi.org/10.1049/cth2.12785","url":null,"abstract":"<p>The roller kiln with multi-temperature zones used for cathode material sintering is an interconnected system with time delay in energy transfer and precise control of the temperature for the preparation of cathode materials for lithium-ion batteries. However, the interconnection between the temperature zones, the time delay of the temperature state, and the disturbance of the external environment make it difficult to control the sintering process. For this reason, this paper develops a distributed <span></span><math>\u0000 <semantics>\u0000 <msub>\u0000 <mi>H</mi>\u0000 <mi>∞</mi>\u0000 </msub>\u0000 <annotation>$H_{infty }$</annotation>\u0000 </semantics></math> control of the temperature of roller kiln based on adaptive dynamic programming (ADP). Firstly, the heat transfer mechanism of sintering process is discussed; the law of energy conservation provides the physical basis for the sintering process on which the autocorrelation function method identifies the time delay. Then, the cost function is constructed by combining the Lyapunov–Krasovskii function containing the time delay, the temperature state, the heating power of the silicon carbon rod and the perturbation. Subsequently, Hamilton–Jacobi–Isaac equation with the optimal cost function and the optimal distributed control strategy are approximated by neural network of ADP. Finally, the stability of the closed-loop system is proved by Lyapunov functional analysis, and the effectiveness of the proposed method is verified by the simulation results of roller kiln temperature control.</p>","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":"19 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.12785","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143113861","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
Neuro-adaptive fractional order prescribed performance backstepping control for a class of strict-feedback non-linear systems
IF 2.2 4区 计算机科学
IET Control Theory and Applications Pub Date : 2025-01-09 DOI: 10.1049/cth2.12782
Le Zhao, Guanci Yang, Kexin Luo, Ling He
{"title":"Neuro-adaptive fractional order prescribed performance backstepping control for a class of strict-feedback non-linear systems","authors":"Le Zhao,&nbsp;Guanci Yang,&nbsp;Kexin Luo,&nbsp;Ling He","doi":"10.1049/cth2.12782","DOIUrl":"https://doi.org/10.1049/cth2.12782","url":null,"abstract":"<p>To suppress the non-linear motion for a class of strict-feedback fractional order non-linear systems, and to improve their transient and steady-state performance, a neuro-adaptive prescribed performance backstepping control strategy suitable for a class of strict-feedback non-linear systems is proposed in this paper. Firstly, the interval Type-2 fuzzy neural network is constructed to approximate the unknown non-linear functions. Secondly, the tracking differentiator is introduced to address the problem of ‘explosion of complexity’ associated with the technique framework of backstepping. Then, a prescribed performance backstepping controller composed of predetermined performance functions and equivalent transformed errors, which can ensure that the tracking errors converge with the predetermined performance intervals for a class of strict-feedback non-linear systems, is designed within the technique framework of backstepping control. Finally, the stability analysis, two simulation experiments and comparative experiment results are presented to demonstrate the feasibility and effectiveness of the designed controller.</p>","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":"19 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.12782","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143113362","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
Robust Cartesian space tracking control of robot manipulators driven by BLDC motors: An observer based partial state feedback approach
IF 2.2 4区 计算机科学
IET Control Theory and Applications Pub Date : 2025-01-05 DOI: 10.1049/cth2.12779
Sukru Unver, Irem Saka, Erman Selim, Enver Tatlicioglu, Erkan Zergeroglu, Musa Alci
{"title":"Robust Cartesian space tracking control of robot manipulators driven by BLDC motors: An observer based partial state feedback approach","authors":"Sukru Unver,&nbsp;Irem Saka,&nbsp;Erman Selim,&nbsp;Enver Tatlicioglu,&nbsp;Erkan Zergeroglu,&nbsp;Musa Alci","doi":"10.1049/cth2.12779","DOIUrl":"https://doi.org/10.1049/cth2.12779","url":null,"abstract":"<p>This study addresses the end-effector position tracking control of robot manipulators actuated by brushless direct current (BLDC) motors under the constraint that the entire electromechanical system (i.e. kinematic, dynamic, and electrical) contains uncertain parameters, and both joint velocity and Cartesian space velocity measurements are unavailable. Specifically, a partial state feedback controller (requiring phase current measurements of BLDC motors) is presented in conjunction with a novel robust velocity observer formulation that achieves semi-global uniform ultimate boundedness of the Cartesian space position tracking error. The stability of the closed-loop system is ensured via Lyapunov-type arguments. To demonstrate the efficacy of the proposed design, an experimental study is conducted on an in-house developed, two degree of freedom planar robot manipulator driven by BLDC motors.</p>","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":"19 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.12779","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143112261","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
l1-ATSXKF-based state and bias estimation for non-linear systems with non-Gaussian process noise
IF 2.2 4区 计算机科学
IET Control Theory and Applications Pub Date : 2025-01-02 DOI: 10.1049/cth2.12769
Boyu Yang, Xueqin Chen, Fan Wu, Ming Liu
{"title":"l1-ATSXKF-based state and bias estimation for non-linear systems with non-Gaussian process noise","authors":"Boyu Yang,&nbsp;Xueqin Chen,&nbsp;Fan Wu,&nbsp;Ming Liu","doi":"10.1049/cth2.12769","DOIUrl":"https://doi.org/10.1049/cth2.12769","url":null,"abstract":"<p>To solve the problem of state and bias estimation for the non-linear system with non-Gaussian noise terms, a series of exogenous Kalman filters (XKF)-based state and bias estimation algorithms are proposed. First, a non-linear system model with bias and non-Gaussian process noise is established. Second, the <i>l</i><sub>1</sub> norm is incorporated into the two-stage exogenous Kalman filter (TSXKF) algorithm, known as the <i>l</i><sub>1</sub>-TSXKF, to mitigate the effect of non-Gaussian process noise. Considering the uncertainty in the system transition model, adaptive factors are introduced into the Kalman filter, known as the adaptive Kalman filter algorithm, to enhance the estimation accuracy by modifying the predicted state covariance. Then, the <i>l</i><sub>1</sub> norm adaptive two-stage exogenous Kalman filter (<i>l</i><sub>1</sub>-ATSXKF) algorithm is designed by combining the advantages of the <i>l</i><sub>1</sub> norm, adaptive factors and XKF in dealing with non-Gaussian process noise, model uncertainty and state/bias simultaneous estimation, respectively. Finally, the simulation results show that the proposed algorithms can reduce the influence of the non-Gaussian characteristics of the system and obtain high-precision attitude and bias estimation results quickly in the process of satellite attitude manoeuvre, which is conducive to the application of satellite in orbit.</p>","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":"19 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.12769","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143110954","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 delayed neural networks via delay-product-type Lyapunov–Krasovskii functionals
IF 2.2 4区 计算机科学
IET Control Theory and Applications Pub Date : 2025-01-02 DOI: 10.1049/cth2.12778
Jun Chen, Fengqiang Ji, Guangming Zhuang, Hongjia Sha
{"title":"Stability analysis of discrete-time delayed neural networks via delay-product-type Lyapunov–Krasovskii functionals","authors":"Jun Chen,&nbsp;Fengqiang Ji,&nbsp;Guangming Zhuang,&nbsp;Hongjia Sha","doi":"10.1049/cth2.12778","DOIUrl":"https://doi.org/10.1049/cth2.12778","url":null,"abstract":"<p>This article is concerned with the stability problem for discrete-time neural networks with a time-varying delay. For the two cases that the delay-variation bounds are known and unknown, new augmented Lyapunov–Krasovskii functionals (LKFs) are correspondingly constructed by fully considering the information on the state-related vectors and nonlinear activation function. Through the entire vector-extension method, the forward differences of the new LKFs are estimated to be affine with the delay. Relaxed stability criteria are consequently derived via the convex method. Two numerical examples are provided to show the effectiveness of the proposed method on conservatism reduction.</p>","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":"19 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.12778","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143110957","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
Distributed zeroth-order online optimization with communication delays
IF 2.2 4区 计算机科学
IET Control Theory and Applications Pub Date : 2025-01-02 DOI: 10.1049/cth2.12759
Keito Inoue, Naoki Hayashi, Shigemasa Takai
{"title":"Distributed zeroth-order online optimization with communication delays","authors":"Keito Inoue,&nbsp;Naoki Hayashi,&nbsp;Shigemasa Takai","doi":"10.1049/cth2.12759","DOIUrl":"https://doi.org/10.1049/cth2.12759","url":null,"abstract":"<p>This paper investigates distributed online optimization in a networked multiagent system, where each agent has its own private objective and constraint functions that vary over time. In many real-world scenarios, computing the gradient of the cost function can be challenging, especially when agents have limited computational capabilities. Moreover, communication delays are common in practical networked systems due to various factors. This paper considers a unified framework for distributed online optimization that can handle bandit feedback and communication delays feedback simultaneously. A distributed primal-dual algorithm is proposed that utilizes bandit feedback, in which the agents estimate the gradients of their objective and constraint functions by sampling the function values. An enlarged network model that incorporates the delayed information exchanged among the agents is introduced. Through theoretical analysis, it is shown that the proposed algorithm achieves sublinear upper bounds on both the dynamic regret and the constraint violation despite communication delays.</p>","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":"19 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.12759","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143110946","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
Maglev train levitation control via tracking differentiator with small phase lag
IF 2.2 4区 计算机科学
IET Control Theory and Applications Pub Date : 2024-12-31 DOI: 10.1049/cth2.12777
Louyue Zhang, Gaoxi Xiao, Chao Zhai, Hehong Zhang
{"title":"Maglev train levitation control via tracking differentiator with small phase lag","authors":"Louyue Zhang,&nbsp;Gaoxi Xiao,&nbsp;Chao Zhai,&nbsp;Hehong Zhang","doi":"10.1049/cth2.12777","DOIUrl":"https://doi.org/10.1049/cth2.12777","url":null,"abstract":"<p>The levitation control system is a critical subsystem in maglev trains, ensuring stable levitation of the train on the guideway. Achieving stable levitation requires providing the system with accurate levitation gap and corresponding velocity data while minimizing phase lag. This work proposes an enhanced tracking differentiator (TD) to reduce phase lag in both filtering and differentiation of input signals with varying noise levels. The improved performance is achieved by incorporating system damping and an amplitude factor into the control algorithm used to design the differentiator. Theoretical analysis guarantees the convergence of the proposed algorithm. Simulations and experiments conducted on the levitation gap data demonstrate the superior performance of the proposed TD in reducing phase lag for both filtered and differentiated signals. Furthermore, experimental results highlight the improved performance of the feedback controller when employing the proposed TD.</p>","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":"19 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2024-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.12777","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143121425","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
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