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A dynamic control decision approach for fixed-wing aircraft games via hybrid action reinforcement learning

science China(Information sciences) 2025年第3期68卷 197-219页

作者： Xing ZHUANG Dongguang LI Hanyu LI Yue WANG Jihong ZHU Science and Technology on Electromechanical Dynamic Control Laboratory Beijing Institute of Technology Department of Precision Instrument Tsinghua University

Autonomous decision-making is crucial for aircraft to achieve quick victories in diverse scenarios. Based on a 6-degree-of-freedom aircraft model, this paper proposes a decoupled guidance and control theory for autonomous aircraft maneuvering, distinguishing between close and long-range engagements. We introduce a method for heading attitude control to enhance stability during close-range interactions and a speed-based adaptive grid model for precise waypoint control in mid-to-long-range engagements. The paper transforms dynamic aircraft interactions into a Markov decision process and presents a hybrid discrete and continuous action reinforcement learning approach. This unified learning framework offers enhanced generalization and learning speed for dynamic aircraft adversarial processes. Experimental results indicate that in a symmetric environment, our approach rapidly achieves Nash equilibrium, securing over a 10% advantage. In unmanned aerial aircraft game control with higher maneuverability, the probability of gaining a situational advantage increases by more than 40%. Compared to similar methods, our approach demonstrates superior effectiveness in decision optimization and adversarial success ***, we validate the algorithm's robustness and adaptability in an asymmetric environment, showcasing its promising application potential in collaborative control of aircraft clusters.

关键词： intelligent air combat unmanned aerial vehicle game dynamic control reinforcement learning

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Research on multi-scale simulation and dynamic verification of high dynamic MEMS components in additive manufacturing

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Defence technology 2025年 47卷 275-291页

作者： Lv, Sining Feng, Hengzhen Lou, Wenzhong Xiao, Chuan Li, Shiyi Science and Technology on Electromechanical Dynamic Control Laboratory School of Mechatronical Engineering Beijing Institute of Technology Beijing100081 China

Metal Additive Manufacturing (MAM) technology has become an important means of rapid prototyping precision manufacturing of special high dynamic heterogeneous complex parts. In response to the micro-mechanical defects such as porosity issues, significant deformation, surface cracks, and challenging control of surface morphology encountered during the selective laser melting (SLM) additive manufacturing (AM) process of specialized Micro electromechanical System (MEMS) components, multi-parameter optimization and micro powder melt pool/macro-scale mechanical properties control simulation of specialized components are conducted. The optimal parameters obtained through high-precision preparation and machining of components and static/high dynamic verification are: laser power of 110 W, laser speed of 600 mm/s, laser diameter of 75 μm, and scanning spacing of 50 μm. The density of the subordinate components under this reference can reach 99.15%, the surface hardness can reach 51.9 HRA, the yield strength can reach 550 MPa, the maximum machining error of the components is 4.73%, and the average surface roughness is 0.45 μm. Through dynamic hammering and high dynamic firing verification, SLM components meet the requirements for overload resistance. The results have proven that MEM technology can provide a new means for the processing of MEMS components applied in high dynamic environments. The parameters obtained in the conclusion can provide a design basis for the additive preparation of MEMS components. © 2024 China Ordnance Society

关键词： Microchannels

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Optimal Adaptive Parameter Estimation With Online Varying Learning Gain

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IEEE Transactions on Automatic control 2025年第5期70卷 3518-3525页

作者： Chen, Siyu Na, Jing Huang, Yingbo Xing, Yashan Zhao, Jing Wong, Pak Kin Kunming University of Science and Technology Faculty of Mechanical and Electrical Engineering Yunnan Key Laboratory of Intelligent Control and Application Kunming650500 China University of Macau Department of Electromechanical Engineering 999078 China

It has been well known that the learning gain plays a crucial role in the adaptive parameter estimation (APE) for guaranteeing fast convergence and robustness. However, the tuning of learning gains in the existing methods is generally empirical and time-consuming. To address this issue, this article presents a novel APE approach to explore the optimality principle in the design of adaptive laws to obtain an online updated optimal learning gain, which is derived to minimize a cost function of estimation error with two weighting matrices. For this purpose, the estimation error is first reconstructed by using filter operations on the system and introducing several auxiliary variables. Then, two constructive APE algorithms driven by the extracted estimation error are developed. Finally, inspired by the duality of control and estimation, the estimation error dynamics are reformulated as a closed-loop system with an analogous control action to minimize the cost function. By using the Hamiltonian function, a differential Riccati equation is derived to find an optimal solution of learning gain to construct an optimal adaptive law. The robustness of the proposed adaptive laws subjected to disturbances is also analyzed. Comparative numerical simulations are given to illustrate the superiority of the proposed method. © 1963-2012 IEEE.

关键词： Cost functions

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Study on the Characteristics of High Voltage Capacitance in Fuze Electronic Safety System 16th

Study on the Characteristics of High Voltage Capacitance in ...

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16th International Conference on Modelling, Identification and control, ICMIC 2024

作者： Yang, Liuzhu Mao, Ruizhi Zhou, Xiaodong Cheng, Xinya Chen, Yao Zhang, Lisha School of Mechatronical Engineering Beijing Institute of Technology Beijing100081 China Science and Technology on Electromechanical Dynamic Control Laboratory Beijing100081 China

ISBN: (纸本)9789819617760

High voltage capacitor discharges serve as the primary source of pulse current in fuze electronic safety systems. This study explores the impact of high voltage capacitors on charging time, discharge time, and pulse discharge capacity in such systems, focusing on characteristics like leakage current and dielectric material. Through simulations of charging and discharging circuits, it was observed that the capacitor's voltage increases when the charging current surpasses the leakage current, eventually reaching a steady-state value when equilibrium is achieved. Analysis of polarization-electric field (PE) curves for various capacitor materials revealed that antiferroelectric material is the most optimal choice for high-voltage capacitors in fuze electronic safety systems, followed by linear material capacitors and ferroelectric material capacitors. Notably, the discharge power of antiferroelectric material capacitors was found to be approximately three times greater than the other two types, making them more conducive to fuze miniaturization. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Capacitor bank

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A Spatial Modes Filtering FETD Method for 3-D Periodic Structures

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Applied Computational Electromagnetics Society Journal 2025年第2期40卷 96-102页

作者： Wang, Yixin Wei, Bing Fan, Kaihang He, Xinbo Zhao, Sihan Department of Information Technology Shaanxi Police College Xi’an710021 China School of Physics Xidian University Xi’an710071 China School of Information and Communications Engineering Xi’an Jiaotong University Xi’an710049 China Science and Technology on Electromechanical Dynamic Control Laboratory Xi’an710065 China

– A spatial modes filtering (SMF) finite-element time-domain (FETD) method with periodic boundary condition (PBC) is proposed for efficiently analyzing the electromagnetic characteristics of 3-D periodic structures with partial fine structures. The system matrices of FETD become asymmetrical because of the introduction of PBC, which prevents the system eigenvalue analysis. By decomposing the system matrix into PBC-independent and PBC-related parts, the unstable spatial modes under the given large time step can be found and removed from the symmetrical PBC-independent system matrices. Then the system matrix equation and time marching of the SMF-FETD and SMF-FETD method based on local eigenvalue solution (LES-SMF-FETD) with PBC are obtained. Numerical results illustrate the efficiency and effectiveness of the SMF-FETD method with PBC based on non-uniform mesh for analyzing the transport properties of 3-D periodic structures. © ACES.

关键词： Eigenvalues and eigenfunctions

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Research on Stability of Cutting System of Shield Driving Robot in Semi-coal Rock Roadway Under Complex Geological Conditions 2nd

Research on Stability of Cutting System of Shield Driving Ro...

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2nd International Conference on the Frontiers of Robotics and Software Engineering, FRSE 2024

作者： Xue, Limeng Wang, Chuanwei School of Mechanical Engineering Xi’an University of Science and Technology Xi’an710054 China Shaanxi Key Laboratory of Mine Electromechanical Equipment Intelligent Detection and Control Xi’an710054 China

ISBN: (纸本)9789819630127

Aiming at the problems of stability and efficiency of full-width cross-axis cutting in large section semi-coal rock roadway under complex geological conditions, a shield type intelligent driving robot system is developed, and a new shield type full-width cross-axis cutting system was proposed. The body structure model of the cutting system was constructed, and the mechanical model of the full-width transverse axis drum of the cutting system, the mechanical coupling model of "cutting robot - rectangular shield - top and bottom wall rock", and the force transfer mechanism in the cutting process of the drum were established. The stability condition of the cutting system is determined according to the relationship between the stability moment and the jumping moment of the cutting system, and the stability coefficient model of the cutting system when the shield and the roof are coupled is established. The Adams simulation model of the cutting system is established, and the cutting performance of the coal rock with hardness of f6 is simulated, and the stability coefficient is always greater than 1.1. The simulation and industrial test results show that the shield type full width transverse axis cutting system has characteristics of good stability, cutting efficiency and high forming quality. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Intelligent robots

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Research on Fault Diagnosis Method for Rolling Bearings Based on Improved ConvNext V2

Research on Fault Diagnosis Method for Rolling Bearings Base...

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TEPEN International Workshop on Fault Diagnostics and Prognostics, TEPEN-IWFDP 2024

作者： Qin, Feifan Zhang, Chao Wang, Jianguo Wu, Le Wu, Yangbiao Ouyang, Bing Liu, Guiyi College of Mechanical Engineering Inner Mongolia University of Science and Technology Baotou014010 China Inner Mongolia Key Laboratory for Intelligent Diagnosis and Control of Electromechanical Systems Baotou014010 China

ISBN: (纸本)9783031734069

Aiming to address issues such as insensitivity to fault characteristics, inadequate feature extraction, and susceptibility to external environmental interference in traditional bearing fault diagnosis methods, an improved approach to rolling bearing fault diagnosis based on ConvNext V2 is proposed. Firstly, leveraging the advantages of wavelet time-frequency analysis, one-dimensional vibration signals collected from the experimental setup are transformed into two-dimensional images containing abundant time-frequency information using continuous wavelet transform. Secondly, the next-generation convolutional neural network ConvNext V2 is introduced as the underlying network for rolling bearing fault diagnosis, and the Efficient Channel Attention (ECA) network is incorporated to enhance the feature extraction capability of the Block module in the base network. Subsequently, the wavelet time-frequency images are used as feature map inputs to the improved ConvNext V2 network for training, enabling the diagnosis and recognition of rolling bearing faults. Finally, experimental results demonstrate that the proposed method exhibits good fault recognition accuracy and stability in laboratory data, with high generalization capability, thereby offering a new solution for rolling bearing fault diagnosis. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Roller bearings

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Research on tolerance optimization method for aircraft thin-walled components based on improved particle swarm optimization algorithm 10

Research on tolerance optimization method for aircraft thin-...

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2024 10th International Forum on Manufacturing technology and Engineering Materials, ICMTEM 2024

作者： Xue, Dong Tian, Dalong Sun, Xing Zhou, Jiangtao Du, Han Xi'An Institute of Electromechanical Information Technology Xi'an710065 China Science and Technology on Electromechanical Dynamic Control Laboratory Xi'an710065 China Aviation Industry Development Research Center of China Beijing100029 China 210 Institute The Sixth Academy of China Aerospace Science & Industry Corp. Xi'an710065 China

The assembly accuracy of aircraft thin-walled components produced in the same batch is subject to fluctuations influenced by part tolerances and assembly processes. Significant variations in assembly precision can lead to increased assembly adjustment costs, severely affecting both efficiency and overall expenses. However, tolerance optimization that takes into account these fluctuations requires the integration of assembly deviation calculations, characterized by a high demand for large sample sizes and frequent iterative computations, which results in escalated computational costs. In this context, this paper establishes a data-driven mathematical model for tolerance optimization that comprehensively considers fluctuations in assembly accuracy, manufacturing costs, and quality losses, using a surrogate model as the core computational engine. Furthermore, to address the shortcomings of the traditional particle swarm optimization algorithm, namely, its tendency to get trapped in local optima and its insufficient local search capabilities, this study proposes an improved particle swarm optimization algorithm that integrates a chaotic local search strategy and second vibration particles. This enhanced algorithm is applied to the tolerance optimization problem of aircraft thin-walled components. © Published under licence by IOP Publishing Ltd.

关键词： Particle swarm optimization (PSO)

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A sparse moving array imaging approach for FMCW radar with dual-aperture adaptive azimuth ambiguity suppression and adaptive QR decomposition

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Defence technology 2025年

作者： Han, Yanwen Yan, Xiaopeng Wang, Jiawei Zheng, Sheng Yu, Hongrui Dai, Jian Science and Technology on Electromechanical Dynamic Control Laboratory School of Mechatronical Engineering Beijing Institute of Technology Beijing100081 China

Range-azimuth imaging of ground targets via frequency-modulated continuous wave (FMCW) radar is crucial for effective target detection. However, when the pitch of the moving array constructed during motion exceeds the physical array aperture, azimuth ambiguity occurs, making range-azimuth imaging on a moving platform challenging. To address this issue, we theoretically analyze azimuth ambiguity generation in sparse motion arrays and propose a dual-aperture adaptive processing (DAAP) method for suppressing azimuth ambiguity. This method combines spatial multiple-input multiple-output (MIMO) arrays with sparse motion arrays to achieve high-resolution range-azimuth imaging. In addition, an adaptive QR decomposition denoising method for sparse array signals based on iterative low-rank matrix approximation (LRMA) and regularized QR is proposed to preprocess sparse motion array signals. Simulations and experiments show that on a two-transmitter-four-receiver array, the signal-to-noise ratio (SNR) of the sparse motion array signal after noise suppression via adaptive QR decomposition can exceed 0 dB, and the azimuth ambiguity signal ratio (AASR) can be reduced to below −20 dB. © 2025 China Ordnance Society

关键词： Signal to noise ratio

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The Slippage Model of Outer Ring Faults in Deep Groove Ball Bearings Induced by Impact Forces Under Load

The Slippage Model of Outer Ring Faults in Deep Groove Ball ...

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TEPEN International Workshop on Fault Diagnostics and Prognostics, TEPEN-IWFDP 2024

作者： Wu, Yangbiao Zhang, Chao Liu, Guiyi Wu, Le Ouyang, Bing Qin, Feifan School of Mechanical Engineering Inner Mongolia University of Science and Technology Baotou014010 China Key Laboratory of Intelligent Diagnosis and Control of Electromechanical Systems in Inner Mongolia Autonomous Region Baotou014010 China

ISBN: (纸本)9783031734069

The study of fault mechanisms plays a crucial role in the field of fault diagnosis. The phenomenon of rolling element slippage is inevitable. In order to more accurately describe the phenomenon of rolling element slippage in the defective area, this paper employs the instantaneous center method and the theorem of three centers to represent the centerline velocity of the rolling element. Due to the change in linear velocity when the rolling element slips, the magnitude of the impact force is calculated according to the principle of collision. Finally, focusing on deep groove ball bearings as the research object, a fault dynamic model is established to simulate the slippage of the rolling element after being subjected to impact force in the defective area. The model is solved using the fourth-order Runge-Kutta method, and the results are simulated. Through experimental simulation analysis, the fault characteristic frequencies obtained from the proposed model are compared with theoretical values, with errors falling within the range of 1 to 2 Hz. Therefore, this provides preliminary validation of the correctness of the proposed model. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Deep groove ball bearings

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