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2024 CSAA/IET International Conference on Aircraft Utility systems, AUS 2024

作者： Zhang, Yunhao Chen, Rentong Zhang, Chao Wangia, Shaoping Han, Hailiang School of Automation Science and Electrical Engineering Beihang University Beijing100191 China Ningbo Institute of Technology Beihang University Ningbo315800 China AVIC Xi'an Flight Automatic Control Research Institute Xi'an710065 China

In this paper, the dynamic coupling characteristics of the oil film of the slipper pair of the axial piston pump are analysed to achieve optimize the performance of the pump and prolong its *** oil chamber pressure model of the slipper is first established to obtain the boundary conditions of the lubricated surface of the slippers. Then the multi-field coupling model is established based on Reynolds *** finite difference and Newton-Raphson methods were utilized to simulate the fluctuating oil film thickness. The findings indicate that the oil film's temperature peaks under high pressure and dips under low pressure, with a more pronounced tilt in the latter. These numerical insights shed light on the complex interactions within the slipper pair's oil film dynamics. © The Institution of engineering & Technology 2024.

关键词： Newton-Raphson method

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Multi-Stage Marine Ship Recognition Based on Stackable Residual Network 19

Multi-Stage Marine Ship Recognition Based on Stackable Resid...

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19th International Conference on Natural Computation, Fuzzy systems and Knowledge Discovery, ICNC-FSKD 2023

作者： Yu, Wanwan Zhang, Junping Wang, Linlin Xi, Yunqiao Xu, Hongfeng Chen, Linxiu Hao, Mingrui Harbin Institute of Technology School of Electronics and Information Engineering Harbin China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China

ISBN: (纸本)9798350304398

Marine ship recognition has always been an important research field. The ships can be usually recognized by analyzing their attribute characteristics. However, in the actual process of recognition, many ship recognition methods using a single model cannot meet the requirements of this task due to the complexity of ship types, diversity of interference factors and different information obtained from distance differences. Therefore, we propose a multi-stage ship recognition scheme. First, the single radiation emitter feature recognition network model is designed for long-distance recognition. Second, the fusion feature network model for short distance recognition. The proposed network is mainly constructed with the residual units, which not only simplify the training of deep networks and facilitate the spread of information, but also can solve the vanishing gradient and exploding gradient problem. The simulation experimental results show that the proposed network model has better performance than typical methods and has great potential in applications. © 2023 IEEE.

关键词： Ships

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A Staged Model-Free Adaptive control for Infrared Heating system 5

A Staged Model-Free Adaptive Control for Infrared Heating Sy...

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5th International Seminar on Artificial Intelligence, Networking and Information Technology, AINIT 2024

作者： Li, Xilong Luo, Yi Yang, Xiaojing Cheng, Taobo Xu, Zhihao School of Electrical and Mechanical Engineering Kunming University of Science and Technology Yunnan Kunming650500 China Institute of Intelligent Manufacturing Gdas Guangdong Key Laboratory of Modern Control Technology Guangzhou China School of Mechanical and Automation Engineering Wuyi University Jiangmen China

ISBN: (纸本)9798350385557

Due to the significant uncertainty and complexity present in the working process of the infrared heating system, as well as the system's strong nonlinear and time-varying characteristics, the traditional temperature control method does not perform well when dealing with such strong nonlinear and time-varying systems. Therefore, the model-free adaptive control algorithm is introduced into the control process of the infrared heating system. This paper first analyzes the heat transfer mechanism of the infrared heating system and establishes a mathematical model for it. Furthermore, to further enhance the control dynamic performance of the infrared heating system, a staged model-free adaptive control method is proposed. Initially, a proportional control term is added to the basic model-free control law, and subsequently, a variable coefficient 'b' is introduced into the original deviation-overcoming term. Finally, simulations are conducted using MATLAB to verify the effectiveness of the proposed control method. The simulation results indicate that the s-MFAC method offers better versatility and flexibility than the original MFAC method, significantly improving the system's overshoot and response speed. © 2024 IEEE.

关键词： MATLAB

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Dynamics and stability analysis of unbalance responses in mid-positioned electrically assisted turbocharger rotor

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International Journal of Mechanical system Dynamics 2024年第4期4卷 515-535页

作者： Mingyue Hu Shuqian Cao Xiaolin Cao Zhiyong Zhang Rixiu Men Zhenzhen You Tianyou Wang School of Mechanical Engineering Tianjin UniversityTianjinChina Tianjin Key Laboratory of Nonlinear Dynamics and Control TianjinChina National Key Laboratory of Vehicle Power System TianjinChina Science and Technology on Diesel Engine Turbocharging Laboratory China North Engine Research InstituteTianjinChina

Electrically assisted turbochargers(EAT)improve intake efficiency by motor-assisted compressor impeller rotation,enhancing the system's transient ***,the addition of motor rotor components has increased the number of unbalanced positions in the shaft system,leading to problems such as excessive compressor end vibration and complex changes in oil film *** evaluate the effects of unbalance in the motor rotor,along with the parameters of floating ring bearings(FRB),on the dynamic response of EAT,a finite element model of an EAT rotor supported by nonlinear FRB is developed,and the vibration response of the compressor end bearing is obtained by numerical *** results indicate:(1)In contrast to the effect of compressor and turbine unbalance,proper motor rotor unbalance is more effective in suppressing oil whirl instability in the high-speed operating ***,a new inner oil film whirl“instability interval”is also induced in the low-speed operating range,leading to an increase in the Y1 compressor-end amplitude at low and medium speeds,and this“instability interval”increases with the amount of unbalance.(2)When an oil whirl occurs in the oil film,the maximum eccentricity of the bearing surges and is greater than 0.3,which can be used as an effective threshold for determining whether the oil film is unstable in engineering applications.(3)A suitable outer oil-film clearance range should be 35–40μm,otherwise,a wide range of outer oil-film whirl instability *** the amount of unbalance and oil-film clearance to suppress the subsynchronous vibration of the EAT,provides a theoretical basis for the design of the dynamics of the nonlinear rotor bearing system and improves the stability of the turbocharger's operation.

关键词： electrically assisted turbocharger motor unbalance oil-film clearance rotor dynamics nonlinear vibration

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Deep Learning Based Fault Classification for Micro-thrusters of Drag-Free Spacecraft 7th

Deep Learning Based Fault Classification for Micro-thruster...

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7th Chinese Conference on Swarm Intelligence and Cooperative control, CCSICC 2023

作者： Liang, Zhibo Li, Yuandong Li, Haoran Shao, Xiaodong Hu, Qinglei Zhang, Yonghe Wang, Pengcheng Song, Bin School of Automation Science and Electrical Engineering Beihang University Beijing100191 China School of Aeronautic Science and Engineering Beihang University Beijing100191 China Tianmushan Laboratory Hangzhou310023 China Innovation Academy for Microsatellites of Chinese Academy of Sciences Shanghai201203 China Shanghai Institute of Aerospace System Engineering Shanghai201109 China

ISBN: (纸本)9789819733316

This paper proposes a deep learning (DL) based fault classification framework for the micro-thrusters of drag-free spacecraft, which consists of autoencoders and a softmax classifier. Firstly, the drag-free system dynamics is established and the fault injection technique is used to obtain the dataset for training the DL networks. Subsequently, the optimal parameters of the autoencoders are selected using a layer-by-layer training approach. After that, the softmax classifier is integrated with autoencoders to form the final network structure for fault classification. Finally, the standardized dataset is used to complete the training and testing of the DL network. The results show that the proposed method can quickly and precisely classify the common fault types of micro-thrusters of drag-free spacecraft. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Statistical tests

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Reliability Allocation of Cruise Ship automation system Based on BBWM-AHP 6

Reliability Allocation of Cruise Ship Automation System Base...

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6th International Conference on system Reliability and Safety engineering, SRSE 2024

作者： Xiang, Jiaxin Sun, Yongquan Wang, Hao Chen, Hongke Harbin University of Science and Technology School of Measurement and Control Technology and Communication Engineering Harbin China China Institute of Marine Technology & Economy Beijing China Xiamen University Tan Kah Kee College School of Mechanical and Electrical Engineering & Automation Zhangzhou China

ISBN: (纸本)9798350356083

Limited reliability data during the development of cruise ship automation systems often leads to subjective weight allocation. This paper proposes an reliability allocation method based on the Bayesian best-worst method and analytic hierarchy process to address this challenge. By considering the system reliability indices, influencing factors, and units need to be allocated, a hierarchical model is established for reliability allocation based on the analytic hierarchy process. The Bayesian best-worst method compares elements in each layer, generating best and worst matrices based on decision-makers. These matrices determine optimal weights for each layer's elements. The analytic hierarchy process determines relative importance weights among the system reliability index, influencing factors, and units. Consequently, the derived optimal weights are converted into allocation factors, which enable the allocation of reliability for cruise ship automation systems. This fusion-based approach presents a novel and effective method for optimizing reliability allocation during the development stage of complex systems. © 2024 IEEE.

关键词： Decision making

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Asynchronous State Estimator Design for Markov Switched systems with Incomplete Probabilities and Redundant Channels 42

Asynchronous State Estimator Design for Markov Switched Syst...

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42nd Chinese control Conference, CCC 2023

作者： Chen, Haiyang Gao, Fangzheng Mao, Xueyi School of Control Science and Engineering Tiangong University Tianjin300387 China School of Automation Nanjing Institute of Technology Nanjing211167 China Nanjing Communications Institute of Technology Publicity Department Nanjing211188 China

ISBN: (纸本)9789887581543

This paper is concerned about the H∞ asynchronous state estimator design for Markov switched systems (MSSs) with incomplete transition probabilities and redundant channels. A hidden Markov chain (HMC) is introduced to characterize the asynchronous degree between the state estimator mode and the system mode. Firstly an asynchronous full-order state estimator is devised for the MSSs. Then, by Lyapunov functional and stochastic analysis, new criteria are derived such that the augmented system consisting of the target system and state estimator is H∞ stochastically finite-time boundedness. After that, with matrix decoupling technique, a design algorithm is obtained in form of linear matrix inequalities (LMIs). Finally, the practical one-link robotic manipulator is utilized to validate the developed results. © 2023 Technical Committee on control Theory, Chinese Association of automation.

关键词： Linear matrix inequalities

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A Recurrent Neural Network Based Bicriteria Repetitive Motion Collision Avoidance Scheme for Motion Planning of Dual Redundant Manipulators 13

A Recurrent Neural Network Based Bicriteria Repetitive Motio...

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13th International Conference on Intelligent control and Information Processing, ICICIP 2025

作者： Chen, Shirui Gao, Huanli Hu, Shaolin Zhang, Zhijun The School of Automation Science and Engineering South China University of Technology Guangzhou510640 China The School of Automation Guangdong University of Petrochemical Technology Maoming Guangzhou525000 China The Guangzhou Key Laboratory of Brain-Computer Interaction and Applications Guangzhou China The Key Library of Autonomous Systems and Network Control Ministry of Education The School of Automation Science and Engineering South China University of Technology Guangzhou510640 China Guangzhou510555 China The Jiangxi Thousand Talents Plan Nanchang University Nanchang330031 China The College of Computer Science and Engineering Jishou University Jishou416000 China Guangzhou510335 China The Shaanxi Provincial Key Laboratory of Industrial Automation School of Mechanical Engineering Shaanxi University of Technology Hanzhong723001 China The School of Information Science and Engineering Changsha Normal University Changsha410100 China The School of Automation Science and Engineering Maoming525000 China The Institute of Artificial Intelligence and Automation Guangdong University of Petrochemical Technology Maoming525000 China

ISBN: (纸本)9798331516147

To achieve low joint-angle drift and avoid mutual collision between dual redundant manipulators (DRMs) when they are doing collaboration works, a recurrent neural network based bicriteria repetitive motion collision avoidance (BRMCA) scheme is proposed for motion planning of DRMs. By designing a combined optimization objective encompassing both repetitive motion criterion and collision avoidance criterion, the BRMCA scheme has larger feasible region and less constraint contradiction issues compared with traditional inequality constraints based method. Furthermore, by incorporating velocity-level kinematic model and physical limits of DRMs into the scheme, a time varying quadratic programming (TVQP) problem is formulated. The linear variational inequality-based primal–dual neural network (LVI-PDNN) is used to solve the proposed scheme due to the high accuracy and low computation complexity. Finally, through comparison simulations of tracking Circle-shape and C-shape trajectories between BRMCA scheme and minimum velocity norm (MVN) scheme, it exhibits that the proposed BRMCA scheme can achieve low joint-angle drift, collision avoidance and high tracking accuracy when DRMs are doing cooperative tasks. © 2025 IEEE.

关键词： Recurrent neural networks

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A Cooperative Position Method of Two Aircraft Under the Condition of Giant Inertial Dispersion 11th

A Cooperative Position Method of Two Aircraft Under the Cond...

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11th China Conference on Command and control, C2 2023

作者： Peng, Siting Li, Lei Ren, Jun Zhu, Hongbo Yang, Jiabin Beijing Electro-Mechanical Engineering Institute Beijing100074 China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing100074 China School of Electronics and Information Engineering Beihang University Beijing China

ISBN: (纸本)9789819990207

In this paper, based on the condition that the inertial navigation system loaded on the aircraft has giant dispersion, and the aircraft need to detect, track and attack a target, thus the relative position relation needs to be calculated precisely. How to estimate the problem becomes a difficult obstacle. This article describe the demand faced in the weapon engineer field and provide some solutions feasibly in the practical engineering, three mathematical method are modelled and the readers can choose the suitable scheme according to the detector performance. The un-linear filter method like unscented and cubature kalman filter are used in combination with the state and observation equation. The simulation results show that the modelling methods are observable and the filter method is adaptive to the motion method, therefore the algorithm elaborated in the thesis is of practical significance to the engineer project. © Chinese institute of Command and control 2024.

关键词： Aircraft

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Adaptive control for Spacecraft Proximity Operations Under Motion Constraints 22

Adaptive Control for Spacecraft Proximity Operations Under M...

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22nd IEEE International Conference on Industrial Informatics, INDIN 2024

作者： Chen, Bin Li, Haoran Shao, Xiaodong Shi, Yongxia Hu, Qinglei Guo, Yabo The School of Automation Science and Electrical Engineering Beihang University Beijing100191 China Beijing Institute of Control Engineering Beijing100094 China Nanyang Technological University Singapore639798 Singapore The 60th Research Institute of CRTC Nanjing210000 China

ISBN: (纸本)9798331527471

This paper addresses the issue of relative position tracking control for spacecraft rendezvous and proximity operations with a freely tumbling target, considering spatial motion constraints, including path and relative velocity limits, as well as mass uncertainty and external disturbances. To handle these challenges, a two-stage operation is proposed to ensure compliance with path constraints. In each stage, the constrained zones are parameterized using geometric features of the space, and corresponding artificial potential functions (APFs) are designed. Based on these APFs, an adaptive tracking controller is developed inside a backstepping control frame that allows the pursuer to reach terminal docking position while respecting the spatial motion constraints. Lyapunov stability analysis shows that the proposed control scheme ensures asymptotic convergence of tracking errors, provided that the APFs avoid local minima. Finally, numerical simulations are performed to validate the efficacy of the proposed control scheme. © 2024 IEEE.

关键词： Backstepping

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