ISA transactionsPub Date : 2025-04-23DOI: 10.1016/j.isatra.2025.04.013
Xing Ren, Qing Guo, Tieshan Li, Dan Jiang, Yan Shi
{"title":"Fault detection and tolerant control with a variable-bandwidth extended state observer for electro-hydraulic servo systems with lumped disturbance and measurement noise.","authors":"Xing Ren, Qing Guo, Tieshan Li, Dan Jiang, Yan Shi","doi":"10.1016/j.isatra.2025.04.013","DOIUrl":"https://doi.org/10.1016/j.isatra.2025.04.013","url":null,"abstract":"<p><p>In this study, a novel fault detection and tolerant control method are presented for electro-hydraulic servo systems (EHSS) with actuator partial loss of effectiveness (LOE) fault. Meanwhile, the parameter uncertainties, external disturbances, and output measurement noise are also considered. Firstly, we construct a new mapping function with a simple and flexible structure, and then design a variable-bandwidth extended state observer (VBESO) based on this function to estimate the states and lumped disturbance of the system. The designed VBESO can not only balance estimation accuracy and noise sensitivity, but also decouple the fault component from the lumped disturbance, thus facilitating fault detection. Subsequently, we design an adaptive law with time-varying gain that can accurately approximate the actuator LOE coefficient, and propose a stable fault detection scheme by combining the designed adaptive law, with the detection results that are less affected by changes in system states. The mutual coordination of the mentioned decoupling, adaptive law, and time-varying gain is a key feature of our method, rarely seen in other works. Furthermore, a fault-tolerant controller with the proposed VBESO and adaptive law is developed, which can guarantee that, even in the presence of the considered adverse obstacles, the hydraulic cylinder maintains high tracking accuracy and the control performance can be promptly recovered after an actuator fault occurs. Finally, the proposed method is validated by simulations and experiments, and it is compared with other controllers in different scenarios.</p>","PeriodicalId":94059,"journal":{"name":"ISA transactions","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143995623","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}
ISA transactionsPub Date : 2025-04-22DOI: 10.1016/j.isatra.2025.04.009
Zhiyong Yu, Tianrong Xu, Tao Tang
{"title":"Acceleration control in a dual-stage inertial stabilization system using embedded-parallel-based repetitive-peak compensation.","authors":"Zhiyong Yu, Tianrong Xu, Tao Tang","doi":"10.1016/j.isatra.2025.04.009","DOIUrl":"https://doi.org/10.1016/j.isatra.2025.04.009","url":null,"abstract":"<p><p>Acceleration control demonstrates high sensitivity to nonlinear vibrations in the inertial stabilized motion, usually serving as the preferred choice for observation systems in applications like space optical communications, enabling precise tracking and pointing. However, the stabilization performance is limited by the inadequate gain at mid- to high-frequencies in conventional acceleration control, as well as other nonlinear factors like flexibility and backlash. In this paper, an embedded-parallel-based stabilization methodology is proposed for an acceleration-based dual-stage inertial system to achieve additional notch shaping of the sensitivity function. The essence of this method involves implementing a repetitive controller with a low waterbed effect, paralleled with a peak compensator at a specific frequency to establish an efficient and rapid compensation structure. Relying exclusively on a repetitive controller proves effective in eliminating uncertain periodic vibrations, acting as a substitute for an infinite number of peak compensators. Incorporating an additional mid- to low-frequency peak compensator, designed based on the priori narrowband vibration spectrum, is considered an auxiliary supplement to the repetitive controller. Crucially, this parallel structure neither destabilizes the system nor imposes significant computational burden. Simulations and experiments were conducted at typical vibration frequencies of 1-4 Hz, and experimental results demonstrated a 35%-48% improvement in acceleration stabilization performance, enhancing the system's capability to reject non-strictly periodic vibrations beyond the control bandwidth.</p>","PeriodicalId":94059,"journal":{"name":"ISA transactions","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144056128","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}
ISA transactionsPub Date : 2025-04-19DOI: 10.1016/j.isatra.2025.04.004
Jia Wu, Wenyan Tang, Wenzhong Lei, Yongfang Xie, Touseef Ali
{"title":"Free-will arbitrary time optimization for multi-agent systems with time-varying function.","authors":"Jia Wu, Wenyan Tang, Wenzhong Lei, Yongfang Xie, Touseef Ali","doi":"10.1016/j.isatra.2025.04.004","DOIUrl":"https://doi.org/10.1016/j.isatra.2025.04.004","url":null,"abstract":"<p><p>The article investigates the problem of free-will arbitrary-time optimization for multi-agent systems. This refers to an optimization algorithm that not only urges all agents to come to a consensus but also collaboratively minimizes the sum of their individual time-varying objective functions within a predesignated arbitrary time frame. Unlike fixed-time or finite-time optimization issues, the problem here allows for the specification of an arbitrary settling time. To address this issue, we developed distributed optimization strategies with arbitrary settling times for the single-integrator and double-integrator multi-agent systems. Given the strongly convex nature of the time-varying functions specific to each agent, our algorithms are crafted utilizing the zero-gradient-sum approach. Theoretical analysis shows that our proposed algorithms are effective in minimizing the collective objective function and ensuring consensus among all agents within a user-defined arbitrary time frame. Illustrative simulation examples validate these theoretical results.</p>","PeriodicalId":94059,"journal":{"name":"ISA transactions","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144059222","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}
ISA transactionsPub Date : 2025-04-18DOI: 10.1016/j.isatra.2025.04.017
Sencai Ma, Gang Cheng, Yong Li, Huang An, Chang Liu
{"title":"The interpretable health condition monitoring method of gear transmission system embedded in feature cloud-guided hypergraph structure under the extremely small-sample background.","authors":"Sencai Ma, Gang Cheng, Yong Li, Huang An, Chang Liu","doi":"10.1016/j.isatra.2025.04.017","DOIUrl":"https://doi.org/10.1016/j.isatra.2025.04.017","url":null,"abstract":"<p><p>Addressing the condition monitoring challenges faced by gearboxes under extremely small-sample conditions, this study proposes an interpretable hypergraph discriminative embedding approach based on feature cloud augmentation. Specifically, a supervised feature learning framework based on hypergraphs is first established in this study, which effectively maps the raw health features of gearboxes into an intuitive and low-dimensional manifold space. This transformation facilitates the extraction of highly discriminative feature representations for various health conditions. Furthermore, to tackle the instability or even failure of subspace solutions during the construction of the low-dimensional manifold space in hypergraphs due to the extremely small-sample challenge, a feature cloud-based augmentation method is innovatively designed in this study. By constructing an augmented feature matrix, this strategy fundamentally alleviates the small sample constraint, thereby ensuring the effectiveness and stability of hypergraph learning. To comprehensively validate the effectiveness of the proposed method, this study conducted extensive tests and verifications on both the fault dataset from a drivetrain diagnostics simulator and practical fault monitoring data from wind turbine gearboxes. The experimental results demonstrate that the method can accurately monitor the health conditions of gearboxes under extremely small-sample conditions, significantly enhancing the reliability and safety of equipment operation.</p>","PeriodicalId":94059,"journal":{"name":"ISA transactions","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144039132","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}
ISA transactionsPub Date : 2025-04-12DOI: 10.1016/j.isatra.2025.04.002
Na Dong, Xianzheng Li, Changbin Li
{"title":"Synchronized optimization of chilled water temperature in compression refrigeration system based on PII-AWOA.","authors":"Na Dong, Xianzheng Li, Changbin Li","doi":"10.1016/j.isatra.2025.04.002","DOIUrl":"https://doi.org/10.1016/j.isatra.2025.04.002","url":null,"abstract":"<p><p>The widespread adoption of air conditioning systems has heightened concerns over energy consumption. Despite extensive research on optimizing compression refrigeration systems, achieving global optimization remains challenging. This paper addresses this issue by proposing a novel optimization strategy for vapor compression refrigeration systems. Central to this strategy is the optimization of chilled water temperature, a critical factor influencing overall system efficiency. This variable is synchronized with evaporating pressure (P<sub>e</sub>) and condensing pressure (P<sub>c</sub>) to achieve simultaneous optimal settings. Simulation results underscore the efficacy of this approach in significantly reducing energy consumption during steady-state operation. Moreover, an Adaptive Whale Optimization Algorithm based on Population Information Interactions (PII-AWOA) is developed to enhance optimization performance. Firstly, a population information utilization strategy is designed to improve the selection of optimal individuals in the original algorithm. In addition, adaptive measures are introduced to equalize the exploration and exploitation capabilities of the algorithm. Finally, individual neighborhoods are divided within the population, enabling ordinary individuals to utilize the information of others in their neighborhood, thereby realizing inter-individual information interaction. Experimental results indicate that the PII-AWOA algorithm demonstrates superior precision in convergence on multiple test functions and effectively mitigates the risk of local minima. Comparative analyses with the ZOA algorithm highlight the superior convergence speed and enhanced energy-saving capabilities of the proposed PII-AWOA algorithm.</p>","PeriodicalId":94059,"journal":{"name":"ISA transactions","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144035018","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}
ISA transactionsPub Date : 2024-07-01Epub Date: 2024-05-09DOI: 10.1016/j.isatra.2024.05.006
Jintao Ye, Lina Hao, Hongtai Cheng, Xingchen Li
{"title":"A novel global path planning method for robot based on dual-source light continuous reflection.","authors":"Jintao Ye, Lina Hao, Hongtai Cheng, Xingchen Li","doi":"10.1016/j.isatra.2024.05.006","DOIUrl":"10.1016/j.isatra.2024.05.006","url":null,"abstract":"<p><p>Aiming to address the problem of robot path planning in environments containing narrow passages, this paper proposes a novel global path planning method: the DSR (Dual-source Light Continuous Reflection Exploration) algorithm. This algorithm, inspired by the natural reflection of light, employs the concept of continuous reflection for path planning. It can efficiently generate an asymptotically optimal path on the map containing narrow passages. The DSR algorithm has been evaluated on different maps with narrow passages and compared with other algorithms. In comparison with the bidirectional Rapidly-exploring Random Tree algorithm, the DSR algorithm achieves a significant reduction in both path length (by 27.08% and 34.35%) and time consumption (by 98.47% and 91.03%). Numerical simulations and experimental analysis have demonstrated the excellent performance of the DSR algorithm.</p>","PeriodicalId":94059,"journal":{"name":"ISA transactions","volume":" ","pages":"15-29"},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140960036","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}
{"title":"Accurate parameter identification method for coupled sub/super-synchronous oscillations for high penetration wind power systems.","authors":"Dongsheng Cai, Feiyu Sun, Linlin Li, Weihao Hu, Qi Huang","doi":"10.1016/j.isatra.2024.05.001","DOIUrl":"10.1016/j.isatra.2024.05.001","url":null,"abstract":"<p><p>As the penetration of renewable energy increases to a large scale and power electronic devices become widespread, power systems are becoming prone to synchronous oscillations (SO). This event has a major impact on the stability of the power grid. The recent research has been mainly concentrated on identifying the parameters of sub-synchronous oscillation. Sub/Super synchronous oscillations (Sub/Sup-SO) simultaneously occur, increasing the difficulty in accurately identify the parameters of SO. This work presents a novel method for parameter identification that effectively handles the Sub/Sup-SO components by utilizing the Rife-Vincent window and discrete Fourier transform (DFT) simultaneously. To mitigate the impact of spectral leakage and the fence effect of DFT, we integrate the tri-spectral interpolation algorithm with the Rife-Vincent window. We use the instantaneous data of the phasor measurement unit (PMU) to identify Sub/Sup-SO-related parameters (Sub/Sup-SO damping ratio, frequency, amplitude and phase). First, the spectrum of the Sub/Sup-SO signals is analyzed after incorporating the Rife-Vincent window, and the characteristics of the Sub/Sup-SO signal are determined. Then, the signal spectrum is identified using a three-point interpolation algorithm, and the damping ratio, amplitude, frequency, and phase of the Sub/Sup-SO signals are obtained. In addition, we consider the identification accuracy of the algorithm under various complex conditions, such as the effect of Sub/Sup-SO parameter variations on parameter identification in the presence of a non-nominal frequency and noise. The proposed algorithm accurately identifies the parameters of multiple Sub/Sup-SO components and two Sub-SO components that are in close proximity. Testing with synthetic and real data demonstrates that the proposed algorithm outperforms existing methods in terms of identification accuracy, identification bandwidth, and adaptability.</p>","PeriodicalId":94059,"journal":{"name":"ISA transactions","volume":" ","pages":"166-180"},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140960142","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}
{"title":"Visualized neural network-based vibration control for pigeon-like flexible flapping wings.","authors":"Hejia Gao, Jinxiang Zhu, Changyin Sun, Zi-Ang Li, Qiuyang Peng","doi":"10.1016/j.isatra.2024.05.044","DOIUrl":"https://doi.org/10.1016/j.isatra.2024.05.044","url":null,"abstract":"<p><p>This study investigates pigeon-like flexible flapping wings, which are known for their low energy consumption, high flexibility, and lightweight design. However, such flexible flapping wing systems are prone to deformation and vibration during flight, leading to performance degradation. It is thus necessary to design a control method to effectively manage the vibration of flexible wings. This paper proposes an improved rigid finite element method (IRFE) to develop a dynamic visualization model of flexible flapping wings. Subsequently, an adaptive vibration controller was designed based on non-singular terminal sliding mode (NTSM) control and fuzzy neural network (FNN) in order to effectively solve the problems of system uncertainty and actuator failure. With the proposed control, stability of the closed loop system is achieved in the context of Lyapunov's stability theory. At last, a joint simulation using MapleSim and MATLAB/Simulink was conducted to verify the effectiveness and robustness of the proposed controller in terms of trajectory tracking and vibration suppression.The obtained results have demonstrated great practical value of the proposed method in both military (low-altitude reconnaissance, urban operations, and accurate delivery, etc.) and civil (field research, monitoring, and relief for disasters, etc.) applications.</p>","PeriodicalId":94059,"journal":{"name":"ISA transactions","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141249139","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}
ISA transactionsPub Date : 2024-05-10DOI: 10.1016/j.isatra.2024.05.011
Yu Wang, Chunchen He, Waner Du, Huirong Hu, Qing Bai, Xin Liu, Baoquan Jin
{"title":"Interference fading suppression with fault-tolerant Kalman filter in phase-sensitive OTDR.","authors":"Yu Wang, Chunchen He, Waner Du, Huirong Hu, Qing Bai, Xin Liu, Baoquan Jin","doi":"10.1016/j.isatra.2024.05.011","DOIUrl":"https://doi.org/10.1016/j.isatra.2024.05.011","url":null,"abstract":"<p><p>A multi-sensor information fusion algorithm based on fault-tolerant Kalman filter is proposed in phase-sensitive optical time-domain reflectometer (Φ-OTDR) system, for achieving fading-free distributed vibration sensing. Firstly, a fault-tolerant dual-core complementary array model is designed. The Rayleigh scattering signal denoising, and vibration existence judgment of localization points are carried out to obtain the differentiated frequency demodulation results of the sensing points of the dual-core fiber array. Then a fault-tolerant control strategy is used to determine the sensor weight coefficients and vibration judgment coefficients during data fusion processing, and array data fusion is carried out based on time series data using Kalman filter to realize error value identification and filling. The advantage of this method is the combination of redundant data in a complementary way to improve the system stability. The frequency response ranges from 10 Hz to 2400 Hz and the localization accuracy is 98.33%. The influence of key parameters on the frequency demodulation performance of fault-tolerant Kalman filter is discussed, and a standard deviation of 14.6 Hz and an average error of 7.6 Hz are obtained. The demodulation frequency data matrix obtained by the classical demodulation method has a demodulation error probability of 89.18%, which proves the widespread existence of demodulation errors in vibration signals. The fusion error of demodulation frequency is reduced to 0.25 Hz, the frequency demodulation accuracy reaches 100%, and the demodulation error caused by interference attenuation can be completely eliminated. This system based on fault-tolerant Kalman filter has the characteristics of simple multiplexing structure, interference fading resistance and stable demodulation performance.</p>","PeriodicalId":94059,"journal":{"name":"ISA transactions","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140960238","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}