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Sliding mode controller by using adaptive exponential reaching law based on nonlinear disturbance observer

ISA Transactions 2025年

作者： Liu, Ying Li, Gongfa Du Jiang Yun, Juntong Tao, Bo Jiang, Guozhang Kong, Jianyi Chen, Baojia Key Laboratory of Metallurgical Equipment and Control Technology of Ministry of Education Wuhan University of Science and Technology Wuhan430081 China Research Center for Biomimetic Robot and Intelligent Measurement and Control Wuhan University of science and Technology Wuhan430081 China Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering Wuhan University of science and Technology Wuhan430081 China Precision Manufacturing Research Institute Wuhan University of Science and Technology Wuhan430081 China Hubei Longzhong Laboratory Xiangyang441000 China Hubei Key Laboratory of Hydroelectric Machinery Design& Maintenance China Three Gorges University Yichang443002 China

Aiming at the position tracking control problem of flexible jointed manipulator in the uncertainties and external disturbances, this paper proposes an integrated nonlinear disturbance observer (NDOB) and a non-singular fast terminal sliding mode (NFTSM) control method based on adaptive exponential reaching law (AERL). The NDOB is designed to ensure that the time-varying disturbance is suppressed in finite time. The AERL is designed to improve the track tracking speed and reduce the chattering of the control input. Simulation results show that compared with the optimal ARL, the proposed method reduces the trajectory tracking error by 1.3 %, improves the trajectory tracking convergence speed. Experimental results show that the proposed method reduces the trajectory tracking error by 0.545 %. © 2025 ISA

关键词： Sliding mode control

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Research on flexible job shop scheduling under finite transportation conditions for digital twin workshop

Research on flexible job shop scheduling under finite transp...

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作者： Yan, Jun Liu, Zhifeng Zhang, Caixia Zhang, Tao Zhang, Yueze Yang, Congbin Institute of Advanced Manufacturing and Intelligent Technology Faculty of Materials and Manufacturing Beijing University of Technology Beijing100124 China Key Laboratory of CNC Equipment Reliability Ministry of Education School of Mechanical and Aerospace Engineering Jilin University Jilin130012 China Mechanical Industry Key Laboratory of Heavy Machine Tool Digital Design and Testing Technology Beijing University of Technology Beijing100124 China

Flexible job shop scheduling is one of the most effective methods for solving multiple varieties and small batch production problems in discrete manufacturing enterprises. However, limitations of actual transportation conditions in the flexible job shop scheduling problem (FJSP) are neglected, which limits its application in actual production. In this paper, the constraint influence imposed by finite transportation conditions in the FJSP is addressed. The coupling relationship between transportation and processing stages is analyzed, and a finite transportation conditions model is established. Then, a three-layer encoding with redundancy and decoding with correction is designed to improve the genetic algorithm and solve the FJSP model. Furthermore, an entity-JavaScript Object Notation (JSON) method is proposed for transmission between scheduling services and Digital Twin (DT) virtual equipment to apply the scheduling results to the DT system. The results confirm that the proposed finite transportation conditions have a significant impact on scheduling under different scales of scheduling problems and transportation times. © 2021

关键词： Genetic algorithms

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Suitable feature selection for prediction of lithium-ion batteries remaining useful life 7

Suitable feature selection for prediction of lithium-ion bat...

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7th International Conference on Information, Cybernetics, and Computational Social Systems, ICCSS 2020

作者： Ma, Zhengyang Chen, Meili Cao, Jianyuan Yao, Yuan Liu, Yi Institute of Process Equipment and Control Engineering Zhejiang University of Technology Hangzhou China Hangzhou Arcvideo Technology Co. Ltd. Hangzhou China Shanghai Nuclear Engineering Research and Design Institute Shanghai China National Tsing Hua University Department of Chemical Engineering Taiwan

ISBN: (纸本)9781728162461

In this work, a classification and regression tree (CART) based extreme gradient boosting (XGBoost) model, simply denoted as XCART, is proposed to predict the lithium-ion batteries remaining useful life (RUL). First, the fluctuations in the RUL series are regarded as inherent characteristics, and voltage series which have the similar fluctuations are extracted as important health indicators (HI). Then, the HIs are selected by the feature importance indicator of XCART. After that, XCART is used to learn the selected HIs to acquire the RUL prediction results. Experiments on the NASA Prognostic Center of Excellence dataset show that the proposed XCART method has good prediction performance. © 2020 IEEE.

关键词： Lithium-ion batteries

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A Reference Learning Network for Fault Diagnosis of Rotating Machinery Under Strong Noise and Variable Speed

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SSRN 2023年

作者： Wang, Yinjun Zhang, Zhigang Sun, Haitao Du, Yanbin Chen, Peng Ding, Xiaoxi Chongqing Key Laboratory of Manufacturing Equipment Mechanism Design and Control Chongqing Technology and Business University Chongqing400067 China State Key Laboratory of Gas Disaster Detecting Preventing and Emergency Controlling Chongqing400037 China Chongqing Research Institute China Coal Technology and Engineering Group Chongqing400039 China State Key Laboratory of Mechanical Transmission Chongqing University Chongqing400044 China

Deep learning has been widely used in the fault diagnosis of rotating machinery, and achieved good results. However, the equipment fault diagnosis in strong noise and variable speed environment has always been a difficult problem. As known that the failure of equipment is caused by the continuous degradation of equipment state, and the failure state is evolved from the healthy state. Considering that both health signals and fault signals contain environmental noise, this paper proposes a reference learning network (RLNet) model, which aims to extract the difference features between healthy samples and fault samples through reference units, and eliminate the influence of noise on feature distribution. Firstly, the influence of variable speed on the robustness of the model is eliminated by computed order tracking (COT) method. Then, the difference features between healthy samples and a class of fault samples are extracted through the binary classification reference learning unit (RLU). Next, the extracted differential features are used to train the state classifier. Finally, the membership weight is used to effectively combine the feature recognition results, which reduces the influence of fault features from mismatched RLU. In the experiment, the comparison with other five deep learning models shows the superiority of RLNet in identifying faults under strong noise and variable speed, which verifies the anti noise performance and identification performance of RLNet model. © 2023, The Authors. All rights reserved.

关键词： Failure analysis

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Evaluation of electromagnetic performance of array antennas considering mutual coupling and structural deformation

Evaluation of electromagnetic performance of array antennas ...

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IEEE Asia-Pacific Conference on Antennas and Propagation (APCAP)

作者： Yan Wang Biaolin Yan Zheping Wu Zhiji Wang Zhongxing Duan Hongping Fu Zhihai Wang Kunpeng Yu Wenzhi Wu Congsi Wang School of Information and Control Engineering Xi'an University of Architecture and Technology Xi'an China Zhejiang Fengfan CNC Machinery Co. Ltd Huzhou China CETC No.38 Research Institute Hefei China Key Laboratory of Electronic Equipment Structure Design Ministry of Education Xidian University Xi'an China

The service environmental load will cause structural deformation of array antennas and finally seriously degrade the electromagnetic performance of the antenna. At the same time, the mutual coupling between the antenna elements will always affect the electrical performance of the antenna. Therefore, it is of great significance to evaluate the changes of the electrical properties. Considering the influence of mutual coupling and structural deformation, a calculation model of electromagnetic performance of array antennas is established. Then, taking a linear array antenna as an example, the electrical performance of the antenna is illustrated and compared with the ideal situation, which show that the presented model can solve the problem that it is difficult to quantitative evaluate the performance of the antenna effected by mutual coupling and structural deformation.

关键词： Deformable models Degradation Mutual coupling Deformation Scattering Brain modeling Linear antenna arrays

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A Measurement Campaign of Industrial Environment for Ultra Reliable IIoT Systems

A Measurement Campaign of Industrial Environment for Ultra R...

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International Conference on Wireless Communications and Signal Processing (WCSP)

作者： Qiwei Zhang Tian Hong Loh Dong Zhou Fei Shen Zhipei Huang Fei Qin School of Electronics Electrical and Communication Engineering University of Chinese Academy of Sciences Beijing China Electromagnetic & Electrochemical Technologies Department National Physical Laboratory Teddington UK Department of Electronic Control and Intelligent Qiqihar Heavy CNC Equipment Corp Heilongjiang China Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences Shanghai China

ISBN: (纸本)9781665450867

The large-scale deployment of Industrial Internet of Things (IIoT) is still facing the challenge of providing reliable service with wireless networks, which is envisaged due to the severe multipath fading caused by numerous metal reflectors in industrial environments. Therefore, the channel measurement for different multipath fading scenarios is an important part of exploring the channel characteristics of industrial environments. In this paper, we measured the wideband channel characteristics of a microelectronic manufacturing and a classroom environment with the similar volume. The comparison between them has demonstrated the essential empirical characterisations of wireless industrial channel. Based on these findings, we then propose an empirical PDP model and investigate the root mean square delay spread and coherent bandwidth in these two scenarios, which enabling insight understanding of the channel characteristics and the deployment of IIoT systems operating in industrial scenarios.

关键词： Fading channels Wireless networks Volume measurement Metals Delays Microelectronics Reliability

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Corrections to “Research on Decoding Algorithm of Split-Type Magnetic Encoder”

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IEEE Transactions on Instrumentation and Measurement 2024年 73卷

作者： Jian Kang Yitao Zhao Rongning Li Wei Liu Shuanghui Hao Laboratory of Intelligent Equipment Technology School of Mechatronics Engineering Harbin Institute of Technology Harbin China Shanxi Mechanical and Electrical Design and Research Institute Taiyuan China Beijing Electronic Engineering Institute Beijing China North Navigation Control Technology Company Ltd. Beijing China

In the above paper [1] , Fig. 5 is incorrect. The correct figure is as follows.

关键词： Decoding

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Dynamic Network Access Scheduling and Stabilization of TPCS Networked control System

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IFAC-PapersOnLine 2020年第1期53卷 57-62页

作者： Remya P. Jeevamma Jacob Control & Instrumentation Design Heavy Civil Infrastructure-Engineering Design & Research Centre L&T Construction India Dept. of Electrical Engg. National Institute of Technology Calicut India

The Networked control Systems (NCS) is a significant arena in the current complex technical scenario. NCS provides the user a wide range of scope in mitigation of its underlying issues in order to benefit the versatility of the network. Two Inverted Pendulums Coupled by a Spring (TPCS) system is one of the finest platforms to study NCS and its issues. The objective considered here is to stabilize both the pendulums at desired vertical position while the “Medium Access Constraint” of NCS is addressed. The proposed Dynamic Medium Access Scheduling strategy aims at analyzing the issue so that it can be applied in practical scenarios. In this paper (i) TPCS is modelled as a switched system (ii) Dynamic Medium Access Scheduling protocols are discussed, selected and applied to TPCS and (iii) the best of the two: Weighted Fastest Decay and Guaranteed Dwell-Time methods to give a design solution is summarized. This is aided with computer simulations and the results show that the scheduling polices are effective in controlling TPCS-NCS.

关键词： NCS TPCS system Switched System Medium Access Scheduling Dynamic Medium Access Scheduling Weighted Fastest Decay Guaranteed Dwell-Time

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Enhancing The Sulfur Resistance of Mn/Hzsm-5 Catalyst For Selective Catalytic Reduction Of No X By Coupling the Adsorbent

SSRN

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SSRN 2024年

作者： Wang, Jiachen He, Ning Zhang, Yanxue Chang, Yuan Liu, Chunyan Jiang, Xiangmei Xie, Hongbin Chen, Shaoyun Liu, Jixing Gao, Junfeng Zhu, Wenshuai Liu, Jiaxu Department of Catalytic Chemistry and Engineering State Key Laboratory of Fine Chemicals Dalian University of Technology Dalian116012 China Shanxi Research Institute of Huairou Laboratory Xiaodian District Huazhang Street Taiyuan030032 China State Key Laboratory of Structural Analysis for Industrial Equipment Dalian University of Technology Dalian116024 China School of Environmental Science and Technology Dalian University of Technology Dalian116024 China School of Chemistry and Chemical Engineering Jiangsu University Zhenjiang212013 China State Key Laboratory of Heavy Oil and Beijing Key Lab of Oil & Gas Pollution Control China University of Petroleum Beijing102249 China

Mn modified ZSM-5 zeolites has attracted considerable attention in selective catalytic reduction of NOx emitted from flue gas of industry because of its excellent low-temperature catalytic activity. However, the inferior sulfur resistance and the uncertain state of the active sites have remained unresolved to date. Here, a novel catalyst coupling the adsorbent (Ce-doped TiO2) and Mn/HZSM-5 with distinct Mn loading in a tandem fashion was designed, which avoided the direct contact of SO2 with the Mn/HZSM-5 by preferentially trapping SO2 to form the sulfate on the surface of adsorbent due to the proximity in millimeter-scale, thereby significantly protecting the active Mn species in ZSM-5 from SO2 poisoning. As a result, the tandem fashion with the coupling of adsorbent and 20Mn/HZSM-5 in millimeter-scale proximity exhibit superior deNOx performance and excellent SO2 resistance. This study provides a promising approach for efficient deNOx in the presence of SO2 toward the green development goal. © 2024, The Authors. All rights reserved.

关键词： Catalyst activity

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Optimal Minimum Energy Path Planning of Mobile Robot Based on Improved WOA-GA with Hybrid Strategy for Community-Centric Application

Optimal Minimum Energy Path Planning of Mobile Robot Based o...

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Jiang Du Zhou Da-Lin Li Gong-Fa Lu Bao-Li Yun Jun-Tong Liu Ying Key Laboratory of Metallurgical Equipment and Control Technology of Ministry of Education Wuhan University of Science and Technology Wuhan China School of Computing University of Portsmouth Portsmouth UK Hubei key laboratory of hydroelectric machinery design & maintenance China Three Gorges University Yichang China Key Laboratory of Mechanical Transmission and Manufacturing Engineering of Hubei Province Wuhan University of Science and Technology Wuhan China Precision Manufacturing Research Institute Wuhan University of Science and Technology Wuhan China Institute of Semiconductors Chinese Academy of Sciences Beijing China Research Center for Biomimetic Robot and Intelligent Measurement and Control Wuhan University of Science and Technology Wuhan China

The path planning of mobile robots is investigated to minimize energy loss in intelligent manufacturing. To achieve optimal energy consumption planning, this paper proposes a hybrid strategy that enhances the whale optimization algorithm (WOA) and the genetic algorithm (GA). The WOA-GA algorithm combines their respective advantages and effectively mitigates premature convergence exhibited by the standard traditional algorithm. To enhance the global and local search capabilities of the standard WOA, we employ adaptive weighting and a Cauchy mutation strategy. Additionally, we introduce an adaptive crossover mutation probability and an elite strategy to mitigate the detrimental effects of the genetic algorithm's evolutionary operation in the late iterations, thereby improving its performance. This paper compares the performance of the standard GA, the standard WOA-GA algorithm, and the enhanced WOA-GA algorithm. The experimental results demonstrate that the enhanced WOA-GA algorithm can achieve optimal energy-efficient path planning using the hybrid strategy. The average energy consumption of the enhanced WOA-GA algorithm can be reduced by 30%, while the maximum energy consumption can be reduced by 47%. The results confirm the effectiveness and feasibility of the proposed method in enhancing the level of green manufacturing.

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