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32nd IEEE International Symposium on Industrial Electronics, ISIE 2023

作者： Cheng, Haibo Li, Shichao Zeng, Peng Vyatkin, Valeriy State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Key Laboratory of Networked Control Systems Chinese Academy of Sciences Shenyang China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang China Luleå University of Technology Electrical and Space Engineering Department of Computer Science Luleå Sweden Aalto University Department of Electrical Engineering and Automation Helsinki Finland

ISBN: (纸本)9798350399714

Surrogate models, which have become an effective and popular method to close loop reservoir management problems, use a data-driven approach to predict dynamic injection and production wells parameters and optimize waterflooding development. In this study, a deep learning-based surrogate model method is proposed to estimate bottomhole pressure (BHP) of production wells in waterflooding reservoirs. Bidirectional long short-term memory (BiLSTM) network, as an efficient deep learning approach, is applied to BHP estimation using fluctuation data. Extended Fourier amplitude sensitivity test (EFAST) method is employed to analyse the influence of different input factors on BHP dynamics, and a reduced dataset is rebuilt to predict BHP parameter based on BiLSTM-EFAST algorithm. The estimation results are tested on a dataset from Volve oilfield in North Sea, and compared with other deep learning methods. The test results indicate that the proposed method can achieve higher prediction accuracy. A reduced dataset-based approach provides a new attempt to reduce model complexity and improve calculation speed for big data-driven surrogate model in oil and gas industry. © 2023 IEEE.

关键词： Long short-term memory

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Reducing the energy consumption required for the disassembly process implemented on an assembly and disassembly line 24

Reducing the energy consumption required for the disassembly...

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24th International Conference on control Systems and Computer Science, CSCS 2023

作者： Marius-Adrian, Paun Elena, Dragomir Otilia Florin, Dragomir Stelian, Iliescu Sergiu Eugenia, Minca Octavian Gabriel, Duca Valentin, Gurgu Ion University 'Politehnica' of Bucharest Department of Automation and Industrial Informatics Bucharest Romania Valahia University of Targoviste Faculty of Electrical Engineering Electronics and Information Technology Targoviste Romania University 'Politehnica ' of Bucharest Faculty of Automatic Control and Computers Bucharest Romania University 'Dunarea de Jos ' of Galati Department of Automation and Electrical Engineering Galati Romania Institute of Multidisciplinary Research for Science and Technology Valahia University of Targoviste Targoviste Romania

ISBN: (纸本)9798350313390

This paper proposes a method to reduce the energy consumption of an industrial disassembly process implemented on a production line by using an energy-efficient secondary disassembly process. In the case of defective products, the flow directs the simple product with priority to be disassembled in workstation (WS) 7. Therefore, all defective products are redirected to WS7. The disassembly of all simple products in WS7 is problematic for two reasons: the power consumption of WS7 is high compared to the other workstations, additionally there is an increased possibility of bottlenecks in the production line due to the high disassembly time. The proposed solution to reduce the possibility of deadlock and reduce power consumption is to redirect the defective products to the flexible cell (FC). Handling robots located in neighboring stations will participate collaboratively in the disassembly process. The control structure ensures that the two robots 'meet' in the boundary plane of WS3 with WS4 and disassemble each component through collaborative tasks. Collaborative control of disassembly is thought of as a solution to the global 'fluidization' of production, removing the bottleneck, from the overall flow, but also as an ingenious solution to reduce energy consumption. © 2023 IEEE.

关键词： Assembly

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Raster Map Path Planning Based on Intelligent Optimization Algorithms 3

Raster Map Path Planning Based on Intelligent Optimization A...

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3rd International Conference on Advanced Algorithms and Neural Networks, AANN 2023

作者： Suo, Meixia Zhang, Yongli Wang, Lili Li, Xinqi School of Automation and Electrical Engineering Tianjin University of Technology and Education Tianjin China Tianjin Key Laboratory of Information Sensing and Intelligent Control Tianjin China School of Informatics Beijing Institute of Technology Guangdong Zhuhai China

ISBN: (纸本)9781510668355

To solve the problem of obstacle avoidance cars find the shortest path without collision between two locations. Firstly, the method of building a raster map is used in MATLAB to simulate the working environment of the trolley. Secondly, a hybrid algorithm combining particle swarm algorithm and genetic algorithm is proposed, and it is applied to the path optimization of the trolley. The hybrid algorithm combines the traditional particle swarm algorithm and the genetic algorithm, retains the speed and position iteration mode of the particle swarm algorithm, and integrates the cross and mutation operations in the genetic algorithm. The results show that compared with the traditional particle swarm algorithm and genetic algorithm, the hybrid algorithm can enhance the ability to jump out of local extremes in the process of population search, improve the convergence progress of the algorithm, and ensure that the obstacle avoidance trolley can find a more suitable moving path between the starting point and the target point. © 2023 SPIE. All rights reserved.

关键词： Motion planning

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EXAMINATION OF WATERPROOF POCKETS AS PROTECTIVE CARRIERS FOR SMART GARMENTS

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Tekstil ve Muhendis 2022年第126期29卷 80-87页

作者： Akkan, Taner Kara, Şükran Ağin, Berk Yeşİlpinar, Sevil Şenol, Yavuz Dokuz Eylul University Izmir Vocational School Department of Mechatronics Izmir Turkey Dokuz Eylul University Faculty of Engineering Department of Textile Eng. Izmir Turkey İstanbul Technical University Control & Automation Engineering Dept. İstanbul Turkey Dokuz Eylul University Faculty of Engineering Electrical and Electronics Eng. Dept. Izmir Turkey

The importance of smart garments is increasing day by day for entertainment, sports, medical and military fields. Both hard electronics and textile based soft electronics find application in these areas. In our previous study, we focused on crew loss detection system that was applicable for team sports such as sailing. We designed a two pieces electronic system in which a master system was fixed on the boat and a slave system was implemented in the sailing garments. This study brought a new requirement;the need of a waterproof case that would protect the electronic slave system from sea water in case the sailors fall overboard. As a result of this need, in this study, we have designed and tested waterproof pockets that could serve as waterproof carriers for the slave system of sailing garments. For this purpose, studies were carried out using two different approaches. In the first approach, 15 types of pockets were developed by using three different fabric materials and 5 different seam sealing techniques. These pocket prototypes were tested by exposing them to the water for 12 h. In the second approach, an electronic circuit was developed by using a humidity sensor to test the pocket samples those were immersed to water. According to the results of the first approach, samples containing polyester base fabric, polyurethane and polyester membrane and double-sided sealing tape gave the best results. By converting the best pocket design into a garment sleeve, the humidity sensor containing test apparatus was tested and measurements were taken successfully from the system © 2022. Tekstil ve *** Rights Reserved

关键词： Humidity sensors

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A Consequent Pole Flux Reversal Machine with Asymmetric V-PM Structure for High Torque Performance Applications

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IEEE Transactions on Transportation Electrification 2025年

作者： Zheng, Yuting Xiang, Wei Zhang, Liu Jin, Yong Tan, Ping Ma, Jien Zhejiang University of Science and Technology School of Automation and Electrical Engineering Hangzhou310023 China Beihang University Zhejiang Engineering Research Center of Precision Electromagnetic Control Technology and Equipment Ningbo Institute of Technology Ningbo315800 China Zhejiang University College of Electrical Engineering Hangzhou310027 China

Conventional flux reversal machines (FRMs) are limited in torque density due to large pole flux leakage, while the inherently doubly-salient structure results in large torque ripple. In order to enhance the torque performance, a consequent pole FRM with asymmetric V-shaped permanent magnet structure (AV-CPFRM) is proposed in this paper. The pole flux leakage of the AV-CPFRM is reduced by utilizing the flux focus effect of the V-shaped magnets in conjunction with the consequent pole structure, while the torque ripple is reduced by adopting the asymmetric pole structure. Subsequently, the AV-CPFRM is optimized and analyzed, the influence of the torque performance on the asymmetric pole structure parameters is investigated. In addition, the electromagnetic performance of the optimized AV-CPFRM is compared with CP-FRM and consequent pole FRM with V-shaped magnets (V-CPFRM) based on finite element analysis. The results suggest that the AV-CPFRM reduces torque ripple by 86.6% with the average torque increase of 11% compared to the conventional CP-FRM. Finally, the AV-CPFRM prototype is constructed and experimented. © 2015 IEEE.

关键词： Permanent magnets

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Few-shot working condition recognition of a sucker-rod pumping system based on a 4-dimensional time-frequency signature and meta-learning convolutional shrinkage neural network

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Petroleum Science 2023年第2期20卷 1142-1154页

作者： Yun-Peng He Chuan-Zhi Zang Peng Zeng Ming-Xin Wang Qing-Wei Dong Guang-Xi Wan Xiao-Ting Dong State Key Laboratory of Robotics Shenyang Institute of AutomationChinese Academy of SciencesShenyangLiaoning 110016China Key Laboratory of Networked Control Systems Chinese Academy of SciencesShenyangLiaoning 110016China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of SciencesShenyangLiaoning 110169China University of Chinese Academy of Sciences Beijing100049China Shenyang University of Technology ShenyangLiaoning 110870China School of Automation and Electrical Engineering Shenyang Ligong UniversityShenyangLiaoning 110159China

The accurate and intelligent identification of the working conditions of a sucker-rod pumping system is necessary. As onshore oil extraction gradually enters its mid-to late-stage, the cost required to train a deep learning working condition recognition model for pumping wells by obtaining enough new working condition samples is expensive. For the few-shot problem and large calculation issues of new working conditions of oil wells, a working condition recognition method for pumping unit wells based on a 4-dimensional time-frequency signature (4D-TFS) and meta-learning convolutional shrinkage neural network (ML-CSNN) is proposed. First, the measured pumping unit well workup data are converted into 4D-TFS data, and the initial feature extraction task is performed while compressing the data. Subsequently, a convolutional shrinkage neural network (CSNN) with a specific structure that can ablate low-frequency features is designed to extract working conditions features. Finally, a meta-learning fine-tuning framework for learning the network parameters that are susceptible to task changes is merged into the CSNN to solve the few-shot issue. The results of the experiments demonstrate that the trained ML-CSNN has good recognition accuracy and generalization ability for few-shot working condition recognition. More specifically, in the case of lower computational complexity, only few-shot samples are needed to fine-tune the network parameters, and the model can be quickly adapted to new classes of well conditions.

关键词： Few-shot learning Indicator diagram Meta-learning Soft thresholding Sucker-rod pumping system Time–frequency signature Working condition recognition

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Combined Adaptive Backstepping and LQR control for Inverted Pendulum 3

Combined Adaptive Backstepping and LQR Control for Inverted ...

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3rd IEEE International Conference on Information Technology, Big Data and Artificial Intelligence, ICIBA 2023

作者： Li, Xiaolin Zhang, Yongli Si, Wei Li, Xinqi Pang, Dangfeng Tianjin University of Technology and Education School of Automation and Electrical Engineering Tianjin China TianJin Keylaboratory of Information Sensing & Intelligent Control Tianjin China School of Information Technology Beijing Institute of Technology Guangdong Zhuhai China

ISBN: (纸本)9781665490788

In this paper, a control strategy using adaptive backstepping control combined with optimal control is proposed to solve the problem of stable control of a linear inverted pendulum in the presence of external disturbances. The kinematic model of a one-stage linear inverted pendulum is derived using Lagrange's theorem, and then a disturbance is introduced to establish a suitable Lyapunov function to design an adaptive update control rate to control the pendulum angle and attenuate the effect of the disturbance. Then the optimal controller is designed to control the trolley position, and the LQR is optimized by a genetic algorithm to form the controller of the whole linear inverted pendulum. Finally, the effectiveness and anti-disturbance capability of the method are verified by Simulink simulation. © 2023 IEEE.

关键词： Genetic algorithms

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Robust control of Feeding Speed in Coal Seam Drilling Process Considering Borehole Friction

Robust Control of Feeding Speed in Coal Seam Drilling Proces...

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2024 China automation Congress, CAC 2024

作者： Liu, Xiao Chen, Luefeng Lu, Chengda Fan, Haipeng Wu, Min Pedrycz, Witold School of Automation The Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems The Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education China University of Geosciences Wuhan430074 China Department of Electrical and Computer Engineering University of Alberta EdmontonABT6G 2R3 Canada Systems Research Institute Polish Academy of Sciences Warsaw00-901 Poland Department of Computer Engineering Istinye University Sariyer Istanbul34396 Turkey

ISBN: (纸本)9798350368604

During the coal seam drilling process, the drill string is subject to compressive deformation, compounded by unpredictable variations in formation hardness and borehole wall friction, leading to challenges in maintaining a stable feeding speed. This paper presents a novel approach by introducing uncertain parameters to describe the effects of formation hardness and borehole wall friction. Drill string axial movement model is modeled as a polyhedral system based on a lumped parameter representation. To meet industrial performance requirements, we design a robust H∞ controller to achieve consistent feeding speed control. Our simulation results demonstrate the controller’s effectiveness in ensuring system stability despite fluctuations in formation hardness and drill string friction. © 2024 IEEE.

关键词： Coal deposits

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Semi-autonomous Multicopter Formation control Under One Remote Pilot in GPS-Denied Environment

Semi-autonomous Multicopter Formation Control Under One Remo...

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International Conference on Autonomous Unmanned Systems, ICAUS 2021

作者： Gao, Yan Wei, Donghui Bai, Chenggang Quan, Quan School of Automation Science and Electrical Engineering Beihang University Beijing China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing Electro-Mechanical Engineering Institute Beijing China

ISBN: (纸本)9789811694912

The multicopter formation is widely used in many different complex circumstances. And the semi-autonomous multicopter formation controlled with a single pilot on the ground draws people’s attention due to the great adaptability to various kinds of environments. In this paper, we focus on the problem of passing through narrow channels with semi-autonomous multicopter formation. Similar to the definition for a single multicopter, the altitude hold mode for the multicopter formation is defined first. Then, the formation decision-making and formation low-level control of the altitude hold mode are proposed one by one. Finally, a hardware-in-the-loop simulation and a real experiment are performed with four multicopters to pass through a narrow channel. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Decision making

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Non-Rigid 3D Point Set Registration With Reliable Hybrid Mixture Model

Non-Rigid 3D Point Set Registration With Reliable Hybrid Mix...

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2023 IEEE International Conference on Robotics and Biomimetics, ROBIO 2023

作者： Huang, Haocheng Zhang, Zhengyan Min, Zhe Meng, Max Q.-H. Song, Shuang Wang, Jiaole Harbin Institute of Technology School of Mechanical Engineering and Automation Shenzhen518055 China Shandong University School of Control Science and Engineering Jinan250061 China Southern University of Science and Technology in Shenzhen Department of Electronic and Electrical Engineering China The Chinese University of Hong Kong Department of Electronic Engineering Hong Kong Shenzhen Research Institute of the Chinese University of Hong Kong Shenzhen China

ISBN: (纸本)9798350325706

Non-rigid point set registration is an essential technique in fields such as robotics, computer vision, image-guided surgery, and augmented reality. However, effectively addressing non-rigid deformations and handling noise interference remains a significant challenge in this context. This paper introduces a novel hybrid mixture model (HMM), combining a Gaussian mixture model (GMM) to describe positional features and a Fisher mixture model (FMM) to represent orientation features. This hybrid mixture model offers a solution to the non-rigid point set registration (PSR) problem. The proposed approach iteratively optimizes model parameters through the maximum expectation (EM) algorithm. It comprehensively explores registration performance, accounting for non-rigid deformations amidst isotropic and anisotropic positional noise. The proposed approach further incorporates reliable normal vectors for evaluating orientation features. Extensive experiments on non-rigid PSR demonstrates the improvements our algorithm offers in terms of both robustness and accuracy. © 2023 IEEE.

关键词： Nonrigid point set registration partial hybrid mixture model surgical navigation

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