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2023 International Conference on System Science and engineering, ICSSE 2023

作者： Lam, Le Hoang Truong, Nguyen Hoang Huy, Nguyen Minh Thanh, Truong Quoc Tran, Duc Thien Ho Chi Minh City University of Technology and Education Faculty of Electrical and Electronics Engineering Ho Chi Minh City70000 Viet Nam HCMC University of Technology Faculty of Mechanical Engineering Ho Chi Minh City70000 Viet Nam Ho Chi Minh City University of Technology and Education Automation Control Department Ho Chi Minh City70000 Viet Nam

ISBN: (纸本)9798350322941

This study investigates a force control method for free abrasive polishing to achieve a shiny metal surface finish. Despite the potential of this technique, this method is not widely used in metal surface polishing due to challenges in controlling the force during movement. To address the force control issue, we proposed an approach that uses the feedback force value indirectly calculated through the current value of the AC driver and applies it in a closed-loop control system. The proposed method is evaluated experimentally by polishing different metal pieces with varying particle sizes and movement speeds. The experimental results demonstrate that the proposed force control method effectively maintains a constant force during the polishing process, which leads to an improved surface finish. They also show that decreasing particle size and movement speed can improve the surface finish, while the contact force has a limited effect. These findings contribute to a better understanding of the relationship between force, movement speed, and surface finish quality in metal polishing. © 2023 IEEE.

关键词： Force control

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Formation control and Obstacle Avoidance Design for Networked USV Swarm With Exogenous Disturbance Under Intermittent Communication

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IEEE Transactions on Network Science and engineering 2025年第4期12卷 3234-3243页

作者： Chang, Zhenyu Zong, Guangdeng Wang, Wencheng Yue, Ming Zhao, Xudong Tiangong University School of Control Science and Engineering Tianjin300387 China Weifang University College of Machinery and Automation Weifang261061 China Dalian University of Technology School of Automotive Engineering Dalian116024 China Dalian University of Technology Faculty of Electronic Information and Electrical Engineering Dalian116024 China

This study addresses the formation control problem of under-actuated unmanned surface vehicle (USV) swarm systems and designs an obstacle avoidance strategy for navigating in obstacle environments. The intermittent communication scheme, consisting of the working period and the rest period, is introduced to reduce the communication burden and the consumption of control resources. A distributed formation control strategy is designed to guarantee the realization of the desired formation configuration. Considering the potential impact of obstacles in the operating environment, the artificial potential field repulsion obstacle avoidance method is embedded into the formation control strategy. To eliminate the impact of exogenous disturbances, a disturbance observer is established using the partially known disturbance information. Sufficient conditions are provided to ensure the uniformly ultimate boundedness of the formation error and disturbance observation error. In addition, an energy function related to the obstacle position information is designed to verify that the desired obstacle avoidance behavior can be achieved. The feasibility of theoretical analysis is validated by applying the developed control strategy to surface formation cruise missions. © 2013 IEEE.

关键词： Unmanned surface vehicles

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Simulation analysis of erosion characteristics of slurry pipelines based on CFD-DDPM pipeline parameters 43

Simulation analysis of erosion characteristics of slurry pip...

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43rd Chinese control Conference, CCC 2024

作者： Yuan, Haoran Wu, Jiande Xiong, Xin Yunnan University Yunnan Key Laboratory of Intelligent Systems and Computing Yunnan Kunming650500 China Kunming University of Science and Technology Faculty of Information Engineering and Automation Yunnan Kunming650500 China Kunming University of Science and Technology Yunnan Key Laboratory of Intelligent Control and Application Yunnan Kunming650500 China

ISBN: (纸本)9789887581581

In order to explore the impact of pipe diameter, bend-diameter ratio and bend angle on the erosion of slurry pipe, a numerical simulation method approach grounded in Computational Fluid Dynamics - Dense Discrete Phase Model (CFD-DDPM) is proposed. Firstly, the geometric models of bends with different pipe diameters, bend-diameter ratios, and bend angles are constructed;secondly, the slurry pipe erosion model based on Dense Discrete Phase Model (DDPM) is constructed;then, model validation is conducted on the slurry pipe erosion model to affirm the accuracy of the model;finally, the computational fluid dynamics method is employed to simulate the erosion and wear behavior of the pipeline, to investigate the impact of pipe diameter, bend-diameter ratio and bend angle on the erosion and wear of the slurry pipeline. At the same time, gray correlation analysis was also used to analyze the significant relationship between the three pipeline factors and erosion and wear. The results show that the main erosion area is not determined, with the change of the pipeline parameters, the most serious erosion area will move;the effect of different pipeline parameter variations on the erosion rate is different, in which the pipe diameter of the largest impact, the second largest bend-diameter ratio, the smallest impact of the bend angle. Therefore, in the design of slurry pipeline, should first consider the influence of pipe diameter factors. © 2024 Technical Committee on control Theory, Chinese Association of automation.

关键词： Slurry pipelines

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Improvement of VMD and compensation distance for rolling bearing fault detection methods

Improvement of VMD and compensation distance for rolling bea...

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第43届中国控制会议

作者： Kai Guo Xin Xiong Jun Ma Faculty of Information Engineering & Automation Kunming University of Science and Technology Key Laboratory of Intelligent Control and Application of Yunnan Province Kunming University of Science and Technology

ISBN: (数字)9789887581581

ISBN: (纸本)9798350366907

To address the problem of varying detection performance and the lack of universal standards for early fault detection in rolling bearings,a method for early fault detection in rolling bearings based on an improved variational modal decomposition(IVMD) and compensation distance(CD) is proposed from the perspective of constructing performance degradation ***,the number of modes K for variational mode decomposition(VMD) is adaptively determined using the estimated signal-to-noise ratio(eSNR) ***,the probability density function(PDF) distribution of the intrinsic mode function(IMF) obtained from the decomposition is calculated,and the compensation distance(CD) degradation evaluation index is constructed by integrating the inter-class and intra-class ***,a sliding window is used to repair the false fluctuations in the CD degradation index based on linear regression equations and the 3σ principle,resulting in a sensitive degradation index that accurately characterizes the rolling bearing degradation process Improved Compensation Distance(ICD).Finally,the Chebyshev inequality is used to establish the relationship between the healthy threshold and the ICD index,enabling early fault detection in rolling *** analysis of one set of experiments shows that the proposed method can accurately characterize the degradation process of rolling bearings and effectively detect early faults,providing a new solution for early fault diagnosis of bearings.

关键词： Variational Modal Decomposition Rolling Bearings Fault Detection Spurious Fluctuation Repair Chebyshev's Inequality

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Flatness-based analysis and control design for 2 × 2 hyperbolic PDEs with nonlinear boundary dynamics

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IFAC-PapersOnLine 2022年第26期55卷 13-19页

作者： F. Woittennek A. Irscheid N. Gehring Institute of Automation and Control Engineering UMIT Tirol Hall in Tirol Austria Chair of Systems Theory and Control Engineering Saarland University Saarbrücken Germany Institute of Automatic Control and Control Systems Technology Johannes Kepler University Linz Linz Austria

Distributed-parameter systems represented by linear one-dimensional 2 × 2 hyperbolic PDEs with nonlinear finite-dimensional differentially flat dynamics at one boundary and control acting linearly via the opposite boundary are considered. Flatness of the overall system, deduced from the flatness of the boundary system, allows for the parametrization of the systems solutions by the trajectory of a flat output. The state associated with this parametrization corresponds to the restriction of the flat-output trajectory to a compact interval. This state is intrinsically linked to a nonlinear hyperbolic controller form and associated with the original system variables by an invertible transformation. Moreover, it allows for immediate and constructive reachability analysis. State feedback for tracking a desired reference trajectory is achieved by choosing arbitrary stable closed-loop dynamics. A numerical example illustrates the control performance for different choices of the closed-loop dynamics.

关键词： hyperbolic system flatness reachability nonlinear controller form state feedback

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Model predictive control of microgrid energy management system with optimal power flow constraints using second order cone programming 18

Model predictive control of microgrid energy management syst...

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18th International Conference on Electrical engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2021

作者： Boonpeng, Jirapong Maneeratpongsuk, Jitpanu Banjerdpongchai, David Chulalonkom University Intelligent Control Automation of Process Systems Research Unit Dept. of Electrical Engineering Faculty of Engineering Bangkok10330 Thailand

ISBN: (纸本)9780738111278

Energy management system (EMS) is important for the planning and operation of power system as the power generation must supply enough energy for load with the minimum operating cost. This paper presents nonlinear MPC to dispatch power generation within the limitation of the power system. The objectives are to improve EMS by considering AC optimal power flow and provide a dispatch strategy to reduce total operating cost (TOC). To realize the proposed nonlinear MPC, we consider the power plant model of Mae Hong Son in the northern part of Thailand. Load data and power generation profile are utilized as the inputs to MPC of EMS to minimize TOC for one day ahead. In this work, the optimal power flow is incorporated as the second order cone constraints. It is shown that EMS with optimal power flow can operate within the rated voltage for all buses. When comparing the results in normal mode with one-shot optimization, the proposed MPC can reduce the TOC by 1.72% in the rainy season. © 2021 IEEE.

关键词： Second-order cone programming

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Anomaly Detection Based on Principle of Justifiable Granularity and Probability Density Estimation

Anomaly Detection Based on Principle of Justifiable Granular...

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2023 China automation Congress, CAC 2023

作者： Du, Sheng Ma, Xian Li, Xiang Wu, Min Cao, Weihua Pedrycz, Witold School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan430074 China University of Alberta Department of Electrical and Computer Engineering EdmontonABT6G 2R3 Canada Systems Research Institute Polish Academy of Sciences Warsaw00-901 Poland Istinye University Faculty of Engineering and Natural Sciences Department of Computer Engineering Istanbul Sariyer Turkey

ISBN: (纸本)9798350303759

Anomaly detection is essential to ensure the safety of industrial processes. This paper presents an anomaly detection approach based on the probability density estimation and principle of justifiable granularity. First, time series data are transformed into a two-dimensional information granule by the principle of justifiable granularity. Then, the test statistic is constructed, and the probability density and cumulative distribution functions of the test statistic are calculated. Next, the confidence level determines the test threshold. Finally, the time series data of a key parameter in the sintering process is used as a case study. The experimental result demonstrates that the proposed approach can detect abnormal time series data effectively, providing an accurate and effective solution for detecting time series anomalies in industrial processes. © 2023 IEEE.

关键词： Time series

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Texture Analysis of Breast US Images Using Morphological Transforms, Hausdorff Dimension and Bagging Ensemble Method

Texture Analysis of Breast US Images Using Morphological Tra...

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Mediterranean Conference on control and automation (MED)

作者： Gigi Tăbăcaru Simona Moldovanu Marian Barbu Department of Automatic Control and Electrical Engineering Faculty of Automation Computers Electrical Engineering and Electronics “Dunarea de Jos” University of Galati Romania Computer Science and Information Technology Faculty of Automation Computers Electrical Engineering and Electronics “Dunarea de Jos” University of Galati The Modelling & Simulation Laboratory Dunarea de Jos University of Galati Galati Romania

ISBN: (数字)9798350395440

ISBN: (纸本)9798350395457

In this work, an attempt is made for the first time to use the measurement pattern generated by morphological transformation quantified by Hausdorff fractal dimension (HFD) and classified with ensemble learning based on bagging. The proposed work uses three morphological transformations for image preprocessing: hit-and-miss transform (HMT), white (WHT), and black top-hat (BHT). The pattern texture of US breast images is described by extracting the HFD from the regions of interest (ROI) after the ultrasound (US) images have been preprocessed. The main objective of this study was achieved by comparatively analyzing the classification performance of features using the Random Forest (RF), Extra Trees (ET) classifier, and bagging ensemble method based on XGBoot classifier. In presented study, the XGBoost classifier and BHT image processing method give an accuracy of 89.8% in a binary classification, benign versus malignant breast cancer.

关键词： Ultrasonic imaging Transforms Feature extraction Time measurement Fractals Ensemble learning Image preprocessing

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Unscented Kalman Filter for State of Charge Estimation of Lithium Titanate Battery

Unscented Kalman Filter for State of Charge Estimation of Li...

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International Conference on Electrical engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON

作者： Joshua Chun-Ken Dardchuntuk David Banjerdpongchai Department of Electrical Engineering Center of Excellence in Intelligent Control Automation of Process Systems Faculty of Engineering Chulalongkorn University 254 Phayathai Road Pathumwan Bangkok Thailand

An accurate estimation of the state of charge (SoC) of lithium titanate (LTO) batteries is required for their effective operation and management. In this study, we propose an unscented Kalman filter (UKF) approach for estimating the SoC of LTO batteries, which are challenging to assess due to the nonlinear voltage-SoC relationship and aging impact. Our approach uses a state and measurement model based on LTO’s electrochemical characteristics and employs sigma points and weights to address nonlinearities. According to the findings of our research, the UKF-based methodology has high accuracy, rapid convergence, and resilience to discharge rate, outperforming or matching the capabilities of existing state-of-the-art approaches. This work provides a novel and effective solution for LTO battery SoC estimation, useful for applications in electric vehicles, energy storage, and smart grid energy systems.

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Event-triggered learning of Euler-Lagrange systems: A Koopman operator framework

Event-triggered learning of Euler-Lagrange systems: A Koopma...

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IEEE Conference on Decision and control

作者： Kaikai Zheng Dawei Shi Shilei Li Yang Shi MIIT Key Laboratory of Servo Motion System Drive and Control School of Automation Beijing Institute of Technology Beijing China Department of Mechanical Engineering Faculty of Engineering University of Victoria Victoria BC Canada

ISBN: (数字)9798350316339

ISBN: (纸本)9798350316346

Euler-Lagrange (EL) systems represent a crucial and large class of dynamical systems, and a precise model of the true system would be beneficial in planning and tracking problems. This work aims to learn an unknown EL system using noisy measurement data to achieve improved data utilization efficiency. Specifically, for the considered EL system, a linear representation of the system is constructed using the Koopman operator, which is further characterized by sample data using Willems’ fundamental lemma. Moreover, an event-triggered learning mechanism is proposed to improve data utilization efficiency, and it is designed based on the analysis of the learning error bounds. The effectiveness of the proposed event-triggered learning approach is validated through a manipulator example.

关键词： Learning systems Event detection Manipulators Safety Planning Noise measurement Dynamical systems

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