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14th International Conference Management of Large-Scale system Development, MLSD 2021

作者： Bogomolov, Aleksey Kushnikov, Vadim Ivaschenko, Vladimir Tolobaev, Igor Laboratory of System Problems of Control and Automation in Mechanical Engineering Institute of Precision Mechanics and Control of RAS Saratov Russia Saratov State University Saratov Russia

ISBN: (纸本)9781665412308

We develop mathematical models and methods to determine the appropriate path for developing hydrogen energy. The urgency of choosing this path proceeds from the fact that the development of hydrogen energy has a complex and not always a positive impact on other industries, the environment, and the leading economic indicators of the countries in the world. In this article, we propose to use system dynamics models to describe such relationships. The equations of system dynamics play the role of a control model in the considered problem of the variations calculus. This task determines control actions that minimize the weighted total deviation of the leading economic indicators from the required or indicative values. In determining these values, governments take into account the financial situation and the experience of previous periods. In addition, the problem under consideration includes restrictions on the resources and goals of the system and boundary conditions. Therefore, solving a problem means choosing a finite set of solutions and corresponding controls that satisfy the given requirements. Then we select control actions that minimize the objective function. These impacts correspond to scenarios and action plans to reduce the deviation of the leading economic indicators from the desired values under the influence of the hydrogen energy development in the country. © 2021 IEEE.

关键词： Calculations

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Calibration of Piezoresistive Pressure Sensors in a Wide Temperature Range

Calibration of Piezoresistive Pressure Sensors in a Wide Tem...

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2024 International Conference on Actual problems of Electron Devices engineering, APEDE 2024

作者： Svetlov, Mikhail S. Nikiforov, Alexandr A. Lvov, Peter A. Filina, Ekaterina V. Jburi, Osama K. Kareem, Mohammed H. Laboratory of Control and Automation Problems in Mechanical Engineering Institute of Precision Mechanics and Control of RAS Saratov Russia Institute of Institute of Electronic Engineering and Instrumentation Yuri Gagarin State Technical University of Saratov Saratov Russia Electronic Design Laboratory Digital Measurement Technologies Ltd Saratov Russia Institute of Applied Information Technologies and Communication Yuri Gagarin State Technical University of Saratov Saratov Russia

ISBN: (纸本)9798350393316

Piezoresistive pressure sensors (PPS) are widely used in various microelectronic devices applied in modern technologies. The performance of these sensors are highly dependent on the ambient temperature. Unfortunately, known methods of PPS calibration do not allow measuring pressure with the required accuracy in the wide temperature range typical, for instance, in aviation from –60 to 140 ◦C. In this paper, a conventional approach is used, when the dependence of the output voltage on pressure is represented using a polynomial of a relatively low order, and the dependences of the coefficients of this polynomial on temperature are specified by the cubic splines. The paper describes in detail the identification method of the polynomial model under consideration and obtains expressions for correcting the readings of the pressure gauge during pressure measurements in wide temperature ranges, when the temperature dependence model is specified using cubic splines. The results of experimental studies of specific pressure sensors are presented. © 2024 IEEE.

关键词： Splines

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Nonlinear control of Crane systems Based on Intelligence Computing of Disturbance Observer Under Mismatched Disturbance 22

Nonlinear Control of Crane Systems Based on Intelligence Com...

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22nd IEEE International Symposium on Parallel and Distributed Processing with Applications, ISPA 2024

作者： Wang, Tianlei Wang, Yiyan Xu, Meng Tian, Jiajie Zhang, Jingling Hong, Zhiyong Wuyi University School of Electronic and Information Engineering Jiangmen China Jiangmen Key Laboratory of Kejie Semiconductor Bonding Technology and Control System Jiangmen China Wuyi University School of Mechanical and Automation Engineering Jiangmen China Guangdong Kejie Technology Co. Ltd Jiangmen529020 China

ISBN: (纸本)9798331509712

A control method based on disturbance observer is proposed to address the positioning drift issue of the gantry crane under unmatched disturbances, aiming at precise positioning of the trolley and effective payload swing angle attenuation in a variable-length two-dimensional lifting system. The control scheme comprises a combination of a proportional-derivative controller and a disturbance observer. Firstly, the design of the coupling function in this paper is based on the observation of the natural characteristics of the dynamical model. It cleverly designs the coupling function, which not only helps to effectively reduce the swing angle but also prevents the problem of positioning drift under non-matching disturbances, subsequently, design a controller by integrating intelligent computing with control theory. Secondly, the designed disturbance observer observes and compensates for the system output to achieve disturbance suppression. Thirdly, a thorough stability analysis has been conducted to demonstrate that the proposed controller satisfies the desired conditions. Finally, simulation results illustrate that the pro-posed method success-fully addresses the limitations of existing methods and exhibits superior performance and robustness. © 2024 IEEE.

关键词： Gantry cranes

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Reinforcement Learning-Based Adaptive Search Strategy Combination Algorithm 22

Reinforcement Learning-Based Adaptive Search Strategy Combin...

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22nd IEEE International Symposium on Parallel and Distributed Processing with Applications, ISPA 2024

作者： Liu, Xiaotong Zeng, Zhiqiang Wan, Sicheng Tian, Jiajie Wang, Tianlei Hong, Zhiyong Wuyi University School of Mechanical and Automation Engineering Jiangmen China Jiangmen Key Laboratory of Kejie Semiconductor Bonding Technology and Control System Jiangmen China Wuyi University School of Electronic and Information Engineering Jiangmen China Guangdong Kejie Technology Co. Ltd. Jiangmen China

ISBN: (纸本)9798331509712

Integrating multiple search operators to leverage the characteristics of different search operators is one of the common methods to enhance the performance of evolutionary algorithms. Most of these combination algorithms adopt a fixed framework, which makes it difficult to adaptively select the appropriate search operator during the algorithm iteration process, resulting in poor performance on certain problems. To overcome the aforementioned shortcomings of combination algorithms, an adaptive search strategy combination algorithm based on reinforcement learning and neighborhood search (RLASCA) is proposed. During the algorithm iteration process, a reinforcement learning-based adaptive search operator selection method (RLAS) is designed, enabling the algorithm to adaptively select the appropriate search operator based on the state of the individual. Furthermore, to address the issue of premature convergence, a neighborhood search strategy based on differential evolution (NSDE) is designed to increase the diversity of the population. To verify the effectiveness of the proposed algorithm, a comprehensive testing was conducted using the CEC2017 test suite and two constrained engineering design problems. The algorithm was compared with four basic algorithms that compose RLASCA and four classical combination algorithms. The experimental results indicate that RLASCA outperforms the other eight algorithms in terms of convergence speed and accuracy. © 2024 IEEE.

关键词： Optimization algorithms

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基于改进分形方法的齿面磨损故障直齿轮啮合特性分析

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Journal of Central South University 2024年第5期31卷 1619-1636页

作者：刘子濛常成胡昊东马辉张顺豪赵松涛张晓旭彭志科 School of Mechanical Engineering and Automation Northeastern UniversityShenyang 110819China Key Laboratory of Vibration and Control of Aero-Propulsion System Northeastern UniversityShenyang 110819China Harbin Marine Boiler and Turbine Research Institute Harbin 150078China School of Mechanical Engineering Tongji UniversityShanghai 201804China Institute of Vibration Shock&Noise State Key Laboratory of Mechanical System and VibrationShanghai Jiao Tong UniversityShanghai 200240China

考虑实际的轮齿表面微观形貌,建立了轮齿间相互作用的三维分形接触模型。结合轮齿承载接触分析方法,考虑轮齿间摩擦力的影响,建立了直齿轮副的时变啮合刚度模型,并通过有限元方法进行了验证。结合Archard磨损模型,考虑齿面粗糙度和摩擦... 详细信息

考虑实际的轮齿表面微观形貌,建立了轮齿间相互作用的三维分形接触模型。结合轮齿承载接触分析方法,考虑轮齿间摩擦力的影响,建立了直齿轮副的时变啮合刚度模型,并通过有限元方法进行了验证。结合Archard磨损模型,考虑齿面粗糙度和摩擦力的影响,分析了齿面磨损故障状态下直齿轮副的啮合特性和磨损深度,同时分析了摩擦力和分形参数对时变啮合刚度和磨损深度的影响。摩擦力导致节线处的时变啮合刚度发生突变。当直齿轮副处于双齿啮合时,摩擦因数的增加和分形维数的降低导致磨损深度的增加和时变啮合刚度的降低。时变啮合刚度随分形维数的变化呈线性变化。分形维数对时变啮合刚度和磨损深度的影响随着磨损周期的增加更为明显,超过了摩擦因数对其的影响。

关键词：直齿轮啮合特性分型接触齿面摩擦力磨损故障

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A comparative study of four nonlinear dynamic methods and their applications in classification of ship-radiated noise

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Defence Technology（防务技术） 2022年第2期18卷 183-193页

作者： Yu-xing Li Shang-bin Jiao Bo Geng Qing Zhang You-min Zhang School of Automation and Information Engineering Xi’an University of TechnologyXi’an710048China Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi’an University of TechnologyXi’an710048China Department of Mechanical Industrial and Aerospace EngineeringConcordia UniversityMontrealQuebec H3G 1M8Canada

Refined composite multi-scale dispersion entropy(RCMDE),as a new and effective nonlinear dynamic method,has been applied in the field of medical diagnosis and fault *** this paper,we first introduce RCMDE into the field of underwater acoustic signal processing for complexity feature extraction of ship radiated noise,and then propose a novel classification method for ship-radiated noise based on RCMDE and k-nearest neighbor(KNN),termed *** results of a comparative experiment show that the proposed RCMDE-KNN classification method can effectively extract the complexity features of ship-radiated noise,and has better classification performance under one and two scales than the other three classification methods based on multi-scale permutation entropy(MPE)and KNN,multi-scale weighted-permutation entropy(MW-PE)and KNN,and multi-scale dispersion entropy(MDE)and KNN,termed MPE-KNN,MW-PE-KNN,and *** is proved that the RCMDE-KNN classification method for ship-radiated noise is feasible and effective,and can obtain a very high recognition rate.

关键词： Nonlinear dynamic Refined composite multi-scale dispersion entropy(RCMDE) Multi-scale dispersion entropy(MDE) Multi-scale weighted-permutation entropy (MW-PE) Multi-scale permutation entropy(MPE) Classification of ship-radiated noise

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Brain-inspired Intelligent Robotics:Theoretical Analysis and systematic Application

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Machine Intelligence Research 2023年第1期20卷 1-18页

作者： Hong Qiao Ya-Xiong Wu Shan-Lin Zhong Pei-Jie Yin Jia-Hao Chen The State Key Laboratory of Management and Control for Complex System Institute of AutomationChineseAcademyof SciencesBeijing100190China School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100049China Chinese Academy of Science Center for Excellence in Brain Science and Intelligence Technology Shanghai 200031China School of Mechanical Engineering University of Science and Technology BeijingBeijing 100083China

Traditional joint-link robots have been widely used in production lines because of their high precision for single *** the development of the manufacturing and service industries,the requirement for the comprehensive performance of robotics is *** types of bio-inspired robotics have been investigated to realize human-like motion control and manipulation.A study route from inner mechanisms to external structures is proposed to imitate humans and animals *** this idea,a brain-inspired intelligent robotic system is constructed that contains visual cognition,decision-making,motion control,and musculoskeletal *** paper reviews cutting-edge research in brain-inspired visual cognition,decision-making,motion control,and musculoskeletal *** software systems and a corresponding hardware system are established,aiming at the verification and applications of next-generationbrain-inspired musculoskeletal robots.

关键词： Brain-inspired intelligent robot software and hardware decision making muscle control cognitive intelligence.

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Study of Residual Stress Distribution in Car Body Welds Based on X-Ray Diffraction Method 12

Study of Residual Stress Distribution in Car Body Welds Base...

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12th International Conference on Quality, Reliability, Risk, Maintenance, and Safety engineering, QR2MSE 2022

作者： Zhang, Ruijin He, Jiabao Ju, Zhihang Tang, Haichao Key Laboratory of Vibration and Control of Aero-Propulsion System of Ministry of Education Northeastern University Shenyang China School of Mechanical Engineering and Automation Northeastern University Shenyang China

ISBN: (纸本)9781839538360

Welding residual stress has a significant influence on the initiation and propagation of fatigue cracks in welded structures. It is important to determine the distribution of residual stress in welding parts when the fatigue life is evaluated. The specimen of aluminum butt welding seam was taken from the car body of high speed train, and surface residual stress was measured by using X-ray diffraction method. The results show that there are obvious differences in the uniformity and diffraction peak intensity of the Debye ring of different parts of specimen. Along the line perpendicular to the weld, the distributions of residual stress appear bimodal shape. The peak values appear in the weld near to base metal and the valley value appears in the center of the weld. The maximum value of longitudinal residual stress is far higher than that of the transverse residual stress. The welding boundary has few effect on the residual stress by measuring the residual stress at different distances from the welding free boundary. © 2022 IEEE.

关键词： X ray diffraction

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Single-Factor Stress Testing of the system-Forming Enterprises 15

Single-Factor Stress Testing of the System-Forming Enterpris...

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15th International Conference Management of Large-Scale system Development, MLSD 2022

作者： Dranko, Oleg Bogomolov, Aleksey Dvoryashina, Marina Tsvirkun, Anatoly Laboratory of Large-Scale Systems Development V.A. Trapeznikov Institute of Control Sciences of Ras Moscow Russia Laboratory of System Problems of Control and Automation in Mechanical Engineering Institute of Precision Mechanics and Control Saratov Federal Scientific Centre of Ras Saratov Russia Laboratory of Management of the Development of Large-scale Systems V.A. Trapeznikov Institute of Control Sciences of Ras Moscow Russia

ISBN: (数字)9781665497015

ISBN: (纸本)9781665497015

We propose a method for conducting stress testing of enterprises in the real sector of the economy. The development includes the formulation and methodology for solving the inverse problem of stress testing and a predictive mathematical model based on data from open sources (companies' financial statements). The inverse task is to determine the characteristics of the financial and economic state of the enterprise, corresponding to various critical combinations of parameters of the financial result of its activities. Our original technique can significantly reduce the complexity and computational complexity of stress testing. We demonstrate our development by the stress testing backbone enterprises in the trade industry. The results obtained will find application in solving optimization problems for making decisions to increase the survivability of various sectors of the economy. © 2022 IEEE.

关键词： Inverse problems

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Fault diagnosis of bearings based on deep separable convolutional neural network and spatial dropout

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Chinese Journal of Aeronautics 2022年第10期35卷 301-312页

作者： Jiqiang ZHANG Xiangwei KONG Xueyi LI Zhiyong HU Liu CHENG Mingzhu YU School of Mechanical Engineering and Automation Northeastern UniversityShenyang 110819China Key Laboratory of Vibration and Control of Aero-Propulsion System Ministry of EducationNortheastern UniversityShenyang 110819China Liaoning Province Key Laboratory of Multidisciplinary Design Optimization of Complex Equipment Northeastern UniversityShenyang 110819China Angang Steel Company Limited Anshan 114021China

Bearing pitting,one of the common faults in mechanical systems,is a research hotspot in both academia and *** fault diagnosis methods for bearings are based on manual experience with low diagnostic *** study proposes a novel bearing fault diagnosis method based on deep separable convolution and spatial dropout *** separable convolution extracts features from the raw bearing vibration signals,during which a 3×1 convolutional kernel with a one-step size selects effective features by adjusting its *** similarity pruning process of the channel convolution and point convolution can reduce the number of parameters and calculation quantities by evaluating the size of the weights and removing the feature maps of smaller *** spatial dropout regularization method focuses on bearing signal fault features,improving the independence between the bearing signal features and enhancing the robustness of the model.A batch normalization algorithm is added to the convolutional layer for gradient explosion control and network stability *** validate the effectiveness of the proposed method,we collect raw vibration signals from bearings in eight different health *** experimental results show that the proposed method can effectively distinguish different pitting faults in the bearings with a better accuracy than that of other typical deep learning methods.

关键词： Batch normalization Convolutional neural network Fault diagnosis Similarity pruning Spatial dropout

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