ISA transactions最新文献_第3页

Multiscale dynamically parallel shrinkage network for fault diagnosis of aviation hydraulic pump and its generalizable applications 用于航空液压泵故障诊断的多尺度动态并行收缩网络及其可推广应用。

IF 6.3 2区计算机科学

ISA transactions Pub Date : 2024-11-01 DOI: 10.1016/j.isatra.2024.08.009

Song Fu , Lin Lin , Yue Wang , Minghang Zhao , Feng Guo , Baihong Zhong , Shisheng Zhong

{"title":"Multiscale dynamically parallel shrinkage network for fault diagnosis of aviation hydraulic pump and its generalizable applications","authors":"Song Fu , Lin Lin , Yue Wang , Minghang Zhao , Feng Guo , Baihong Zhong , Shisheng Zhong","doi":"10.1016/j.isatra.2024.08.009","DOIUrl":"10.1016/j.isatra.2024.08.009","url":null,"abstract":"<div><div>Aiming to address the multiscale characteristics and noise corruption problems in the vibration signals of aviation hydraulic pumps, this article develops a novel Multiscale Dynamically Parallel Shrinkage Network (MDPSN) to learn complementary and rich fault-related multiscale features, with the ultimate goal of yielding higher diagnostic accuracy. One significant property is the development of a novel dynamically parallel shrinking module (DPSM) that adaptively generates independent soft thresholds for different scales, effectively shrinking noise-related features to zeros. On one hand, DPSM aggregates and interacts with features at all scales to construct a global feature representation containing richer fault-related information, which is served as the foundation for soft thresholding generation, significantly improving the accuracy and rationality of the generated thresholds. On the other hand, DPSM can adaptively generate individual soft threshold for each scale, allowing each scale to use an independent threshold tailored to its own characteristic to eliminate noise-related information. This avoids the issues of over-denoising or under-denoising caused by the uniform application of thresholds across all scales. Finally, the effectiveness of MDPSN is validated by a series of experiment comparisons on an aviation hydraulic pump dataset and two bearing datasets with various types of noise. The experimental results demonstrate that MDPSN achieves superior diagnostic accuracy compared to five other comparison methods.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"154 ","pages":"Pages 57-72"},"PeriodicalIF":6.3,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141997125","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Angle-of-attack and angle-of-sideslip estimation and complementary filter design for civil aircraft 民用飞机的攻角和侧滑角估计及互补滤波器设计。

IF 6.3 2区计算机科学

ISA transactions Pub Date : 2024-11-01 DOI: 10.1016/j.isatra.2024.08.007

Shaobo Zhai , Guangwen Li , Penghui Huang , Mingshan Hou , Qiuling Jia

引用次数: 0

Concurrent control chart pattern recognition in manufacturing processes based on zero-shot learning 基于零点学习的制造过程并发控制图模式识别。

IF 6.3 2区计算机科学

ISA transactions Pub Date : 2024-11-01 DOI: 10.1016/j.isatra.2024.09.001

Yazhou Li , Wei Dai , Shuang Yu , Yihai He

引用次数: 0

Dynamic impact analysis of the time-delay levitation control system on maglev vehicle system after adding smith predictor 添加史密斯预测器后时延悬浮控制系统对磁悬浮车辆系统的动态影响分析。

IF 6.3 2区计算机科学

ISA transactions Pub Date : 2024-11-01 DOI: 10.1016/j.isatra.2024.08.025

Yang Feng , Chunfa Zhao , Laisheng Tong , Qingsong Yu , Yao Shu

{"title":"Dynamic impact analysis of the time-delay levitation control system on maglev vehicle system after adding smith predictor","authors":"Yang Feng , Chunfa Zhao , Laisheng Tong , Qingsong Yu , Yao Shu","doi":"10.1016/j.isatra.2024.08.025","DOIUrl":"10.1016/j.isatra.2024.08.025","url":null,"abstract":"<div><div>The time delay (TD) in the levitation control system significantly affects the dynamic performance of the closed-loop system in electromagnetic suspension (EMS) maglev vehicles. Excessive TD can cause levitation instability, making it essential to explore effective mitigation methods. To address this issue, a Smith Predictor (SP) is integrated into the traditional PID levitation control system. The combination of theoretical analysis and numerical simulation is employed to assess the stability of the time-delay levitation control system after the integration of the Smith Predictor. Theoretical analysis reveals that when TD exceeds a critical threshold, the levitation system becomes unstable. The addition of SP alters the root trajectory of the system characteristic equation from positive to negative, and recovers the levitation system to stable status. Assuming complete knowledge of the dynamic system, the TD compensation value in the SP becomes a key parameter that determines its performance. A minimum effective value (MEV) for TD compensation is identified, correlating with the system's stability region. Under the influence of TD, more complex systems and higher running speeds of the maglev vehicle lead to a narrower stable region and a larger MEV for TD compensation. Given the simulation parameters in this paper, with a system TD of 15 ms and a maximum vehicle speed of 160 km/h, the MEV for TD compensation in the SP should be set at 12 ms.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"154 ","pages":"Pages 82-94"},"PeriodicalIF":6.3,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142304809","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Design and implementation of Type-3 intuitionistic fuzzy logic MPPT controller for PV solar system: Comparative study 光伏太阳能系统的第三类直觉模糊逻辑 MPPT 控制器的设计与实现：比较研究。

IF 6.3 2区计算机科学

ISA transactions Pub Date : 2024-11-01 DOI: 10.1016/j.isatra.2024.09.006

Mohamed Hamdy , Amal Ibrahim , Belal Abozalam , Salah Helmy

{"title":"Design and implementation of Type-3 intuitionistic fuzzy logic MPPT controller for PV solar system: Comparative study","authors":"Mohamed Hamdy , Amal Ibrahim , Belal Abozalam , Salah Helmy","doi":"10.1016/j.isatra.2024.09.006","DOIUrl":"10.1016/j.isatra.2024.09.006","url":null,"abstract":"<div><div>The performance of a photovoltaic (PV) solar system is affected by partial shading conditions (PSC) and environmental conditions, such as solar irradiance and ambient temperature, which vary throughout the day. This results in variations in the maximum power point (MPP) on the solar PV output characteristic curve. Therefore, various classical MPP tracking (MPPT) techniques have been used to track the MPP and extract maximum power from PV systems. However, these techniques have drawbacks such as lower stability, increased oscillation around the steady state, and slower convergence to the MPP. To overcome this problem, the newly proposed interval Type-3 intuitionistic fuzzy logic (T3IFL) controller has been proposed. The T3IFL MPPT controller combines the uncertainty of Type-3 fuzzy logic (T3FL) controller with intuitionistic concepts. The T3IFL controller is more accurate and offers faster convergence to the MPP under changing climatic and steady-state conditions than classical techniques and T3FL controller. The T3IFL algorithm provides better performance with excellent MPP tracking by controlling the duty cycle of the DC-DC buck converter. Four cases studied were investigated: uniform radiation conditions, a step change in solar radiation with constant temperature, replacing the battery load with the ohmic load with constant radiation and temperature, and partial shading conditions. Experimental validation of the T3IFL was performed on a DC-DC buck converter using real-time hardware-in-the-loop (HIL). Finally, the simulation and experimental results with comparative studies verified the accuracy of the proposed method in tracking the desired value and disturbance/uncertainty attenuation with better response.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"154 ","pages":"Pages 488-511"},"PeriodicalIF":6.3,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142335223","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Observer design for Takagi–Sugeno systems with unmeasurable premise variables using a non-quadratic Lyapunov function 使用非四次方 Lyapunov 函数设计具有不可测前提变量的高木-菅野系统的观测器。

IF 6.3 2区计算机科学

ISA transactions Pub Date : 2024-11-01 DOI: 10.1016/j.isatra.2024.08.008

Wail Hamdi , Mohamed Yacine Hammoudi , Madina Hamiane

引用次数: 0

Event-triggered adaptive neural prescribed performance admittance control for constrained robotic systems without velocity measurements 针对无速度测量的受约束机器人系统的事件触发自适应神经规定性能导纳控制。

IF 6.3 2区计算机科学

ISA transactions Pub Date : 2024-11-01 DOI: 10.1016/j.isatra.2024.08.013

Penghui Fan , Jinzhu Peng , Hongshan Yu , Shuai Ding , Yaonan Wang

{"title":"Event-triggered adaptive neural prescribed performance admittance control for constrained robotic systems without velocity measurements","authors":"Penghui Fan , Jinzhu Peng , Hongshan Yu , Shuai Ding , Yaonan Wang","doi":"10.1016/j.isatra.2024.08.013","DOIUrl":"10.1016/j.isatra.2024.08.013","url":null,"abstract":"<div><div>In this paper, an event-triggered adaptive neural prescribed performance admittance control (ETANPPAC) scheme is proposed to control the constrained robotic systems without velocity sensors. To ensure compliance during human–robot interaction, the reference trajectory is obtained by reshaping the desired trajectory for the robotic systems based on the admittance relationship, where a saturation function is used to constrain the reference trajectory, avoiding excessive contact forces that could render the trajectory inexecutable. Moreover, a barrier Lyapunov function is used to constrain the tracking errors for prescribed performance, where a velocity observer and a radial basis function neural network are designed to estimate the velocity and the uncertainty of the robotic systems, respectively, to enhance control performance. To reduce the communication burden, an event-triggered mechanism is introduced and the Zeno behavior is avoided with the event-triggered condition. The stability of the whole control scheme is analyzed by the Lyapunov function. Simulation and experimental tests demonstrate that the proposed ETANPPAC scheme can track the desired trajectory well under constraints and reduce the communication burden, thereby achieving better efficiency for controlling the robotic systems compared with similar control schemes.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"154 ","pages":"Pages 407-417"},"PeriodicalIF":6.3,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142010134","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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 dynamic programming for containment control with robustness analysis to iterative error: A global Nash equilibrium solution 遏制控制的自适应动态程序设计与迭代误差鲁棒性分析：全局纳什均衡解。

IF 6.3 2区计算机科学

ISA transactions Pub Date : 2024-11-01 DOI: 10.1016/j.isatra.2024.08.024

Zitao Chen , Kairui Chen , Jianhui Wang

{"title":"Adaptive dynamic programming for containment control with robustness analysis to iterative error: A global Nash equilibrium solution","authors":"Zitao Chen , Kairui Chen , Jianhui Wang","doi":"10.1016/j.isatra.2024.08.024","DOIUrl":"10.1016/j.isatra.2024.08.024","url":null,"abstract":"<div><div>Global Nash equilibrium is an optimal solution for each player in a graphical game. This paper proposes an iterative adaptive dynamic programming-based algorithm to solve the global Nash equilibrium solution for optimal containment control problem with robustness analysis to the iterative error. The containment control problem is transferred into the graphical game formulation. Sufficient conditions are given to decouple the Hamilton–Jacobi equations, which guarantee the solvability of the global Nash equilibrium solution. The iterative algorithm is designed to obtain the solution without any knowledge of system dynamics. Conditions of iterative error for global stability are given with rigorous proof. Compared with existing works, the design procedures of control gain and coupling strength are separated, which avoids trivial cases in the design procedure. The robustness analysis exactly quantifies the effect of the iterative error caused by various sources in engineering practice. The theoretical results are validated by two numerical examples with marginally stable and unstable dynamics of the leader.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"154 ","pages":"Pages 132-146"},"PeriodicalIF":6.3,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142304803","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Online control parameter optimization design for multi-machine coordinated loading system of hazardous substances 危险物质多机协调装载系统的在线控制参数优化设计。

IF 6.3 2区计算机科学

ISA transactions Pub Date : 2024-11-01 DOI: 10.1016/j.isatra.2024.09.002

Zuoxun Wang, Chuanyu Cui, Jinxue Sui, Changkun Guo

{"title":"Online control parameter optimization design for multi-machine coordinated loading system of hazardous substances","authors":"Zuoxun Wang, Chuanyu Cui, Jinxue Sui, Changkun Guo","doi":"10.1016/j.isatra.2024.09.002","DOIUrl":"10.1016/j.isatra.2024.09.002","url":null,"abstract":"<div><div>To address the parameter instability issues in hazardous materials handling during multi-machine loading and unloading operations, we propose a Full-Scale Smart Parameter Optimization Control (FSPOC) system specifically designed for multi-machine coordination. This system leverages a novel fish scale prediction algorithm tailored for cooperative multi-machine environments. Initially, the fish scale prediction algorithm, inspired by bionic fish scales, is developed to predict future system behavior by analyzing historical data. Building on this algorithm, we introduce a disturbance cancellation control theorem and design a parameter optimization controller to enhance stability in high-dimensional nonlinear spaces. The FSPOC method is then applied to a multi-machine cooperative system, enabling online distributed parameter optimization for complex systems with multiple degrees of freedom. The effectiveness of the proposed method was validated through simulations, where it was compared with two other optimization techniques: Genetic Algorithm-based PID (GAPID) and Chaotic Atomic Search Algorithm-based PID (CHASO). The simulation results confirm the superiority of the FSPOC method.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"154 ","pages":"Pages 213-227"},"PeriodicalIF":6.3,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142304824","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Self-organizing feature selection fuzzy neural network-based terminal sliding mode control for uncertain nonlinear systems 基于自组织特征选择模糊神经网络的不确定非线性系统终端滑模控制。

IF 6.3 2区计算机科学

ISA transactions Pub Date : 2024-11-01 DOI: 10.1016/j.isatra.2024.09.007

Yundi Chu, Cheng Zhou, Shixi Hou, Houzhi Chen, Juntao Fei

引用次数: 0