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An aircraft brake control algorithm with torque compensation based on RBF neural network

Chinese Journal of Aeronautics 2024年第1期37卷 438-450页

作者： Ning BAI Xiaochao LIU Juefei LI Zhuangzhuang WANG Pengyuan QI Yaoxing SHANG Zongxia JIAO School of Automation Science and Electrical Engineering Beihang UniversityBeijing 100191China Science and Technology on Aircraft Control Laboratory Beihang UniversityBeijing 100191China Key Laboratory of Advanced Aircraft Systems(Beihang University) Ministry of Industry and Information TechnologyBeijing 100091China Research Institute for Frontier Science Beihang UniversityBeijing 100191China Ningbo Institute of Technology of Beihang University Ningbo 315800China Tianmushan Laboratory Xixi Octagon CityYuhang DistrictHangzhou 310023China

The wheel brake system of an aircraft is the key to ensure its safe landing and rejected takeoff.A wheel’s slip state is determined by the brake torque and ground adhesion torque,both of which have a large degree of *** is this nature that brings upon the challenge of obtaining high deceleration rate for aircraft brake *** overcome the disturbances caused by the above uncertainties,a braking control law is designed,which consists of two parts:runway surface recognition and wheel’s slip state *** runway surface recognition,the identification rules balancing safety and braking efficiency are defined,and the actual identification process is realized through recursive least square method with forgetting *** slip state tracking,the LuGre model with parameter adaptation and a brake torque compensation method based on RBF neural network are proposed,and their convergence are *** effectiveness of our control law is verified through simulation and ground *** in the experiments on the ground inertial test bench,compared to the improved pressure-biased-modulation(PBM)anti-skid algorithm,fewer wheel slips occur,and the average deceleration rate is increased by 5.78%,which makes it a control strategy with potential for engineering applications.

关键词： Aircraft landing Brakes Disturbance observer Neural networks Runway identification

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A Multi-Target Value Sequencing Method for underwater Mobile Observation Platforms Based on Motion Features

A Multi-Target Value Sequencing Method for Underwater Mobile...

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International Conference on Electronics technology (ICET)

作者： Yi Zheng Xiangfeng Yang Lei Shi Yunchuan Yang Science and Technology on Underwater Information and Control Laboratory Xi’an Precision Machinery Research Institute Xi’an China

ISBN: (数字)9798350363951

ISBN: (纸本)9798350363968

How to prioritize observation targets when carrying out multi-target observation is an essential question for underwater mobile observation platforms. This problem can be solved by ranking the observation targets using the importance metric. With the knowledge of the target detection capabilities of underwater active acoustic homing detection devices, we first established a group of target value sequencing indexes based on the motion features of the targets and the correlation between the motions. Then, we designed a membership function to quantify each index, thus forming an underwater target value sequencing system. In addition, we designed a series of weight functions to form a variable weight vector for dynamic adjustment of the indexes in response to the change of situation and the change of indexes. The effectiveness of the proposed method is verified through a simulation experiment. The proposed method also yield good results under the data-missing condition, demonstrating that it is superior to the analytic hierarchy process in terms of robustness.

关键词： Measurement Sequential analysis Accuracy Correlation Dynamics Object detection Feature extraction

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EPM-Net: A better way for optical and infrared scene matching via edge point 12

EPM-Net: A better way for optical and infrared scene matchin...

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SPIE 12th International Symposium on Multispectral Image Processing and Pattern Recognition, MIPPR 2023

作者： Huang, Shixiang Chi, Longyun Fu, Wenxing Tian, Jinwen National Key Laboratory of Multispectral Information Intelligent Processing Technology Huazhong University of Science and Technology Wuhan China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China

ISBN: (数字)9781510674943

ISBN: (纸本)9781510674936

As a crucial auxiliary technique in inertial navigation, scene matching has been widely applied in aircraft navigation and guidance. To enhance the adaptability and efficiency of scene matching algorithms in complex environments, existing approaches have gradually shifted towards heterogeneous scene matching, such as optical/ infrared scene matching based on deep learning features, with a focus on point features. However, due to the complex and diverse nonlinear distortions between optical and infrared images, the matching accuracy often fails to meet the practical requirements of navigation and positioning. In view of this problem, an EPM-Net algorithm based on edge features is proposed to improve matching performance by extracting more stable and discriminative edge point descriptors. Experimental results on infrared datasets demonstrate that this method achieves an average matching accuracy improvement of more than four times compared to traditional and existing deep learning methods. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Deep learning

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STUDY OF THE IMPACT RESISTANCE OF A SELF-BALANCING RESISTIVE THERMAL EXPANDING FLOW GYROSCOPE 10

STUDY OF THE IMPACT RESISTANCE OF A SELF-BALANCING RESISTIVE...

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10th International Symposium on Test Automation and Instrumentation, ISTAI 2024

作者： Tong, Jiacheng Piao, Linhua Ma, Xuanlin Liu, Junyu Zhang, Yonghao Sun, Jiahao Beijing Key Laboratory of Sensors Beijing Information Science & Technology University Beijing100192 China Modern Measurement and Control Technology Ministry of Education Beijing Information Science & Technology University Beijing100192 China

ISBN: (纸本)9781837242672

We propose thermal expansion flow gyroscopes with self-balancing resistance and study their impact resistance. In this paper, a thermal expansion flow gyro with self-balancing resistors is used as the research basis, aiming to improve the environmental adaptability of the gyro through technological innovation. The thermal expansion flow gyro contains an upper chamber, a lower chamber and a base layer, which contains four thermistors, two heating resistors and two balancing resistors. In order to improve the detection accuracy of the Wheatstone bridge, the balancing resistors and thermistors are fabricated using the same MEMS process, which ensures that the balancing resistors are highly consistent with the thermistors in terms of material, structure, and process, and achieves a high degree of matching and stability. Based on the above analysis, we carried out a finite element analysis of the impact resistance of the self-contained balancing resistor thermal expansion flow gyro. The experimental results show that the impact resistance of this thermal expansion flow gyro can reach 14,752 g when the load is applied in 0~10ms, which fully proves its high stability in harsh environments. The results of this study will provide a reference for subsequent gyro performance studies. © The Institution of Engineering & technology 2024.

关键词： Thermistors

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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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AN INVESTIGATION OF THE FACTORS AFFECTING THE SENSITIVITY OF A MEMS GYRO WITH FOUR SETS OF BIDIRECTIONAL THERMAL EXPANSION FLOWS 10

AN INVESTIGATION OF THE FACTORS AFFECTING THE SENSITIVITY OF...

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10th International Symposium on Test Automation and Instrumentation, ISTAI 2024

作者： Ma, Xuanlin Piao, Linhua Tong, Jiacheng Liu, Junyu Zhang, Yonghao Sun, Jiahao Beijing Key Laboratory of Sensors Beijing Information Science and Technology University Beijing100192 China Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University Beijing100192 China

ISBN: (纸本)9781837242672

In this paper, Factors affecting the sensitivity of a MEMS gyro with four sets of bi-directional thermal expansion flows, such as the duty cycle of the heating signal, in order to optimize the operating parameters and enhance performance, the upper chamber gas and other factors are investigated. The variation of the temperature field of the sensitive element is analysed and verified by calculations using COMSOL software, while a 3D model of the gyro is established. The optimized calculation results demonstrate that, under the conditions of the ideal heater frequency of 10 Hz, duty cycle of 60%, and power of 70 mW, the optimized MEMS thermal expansion flow gyroscope has a structural sensitivity of 23.5 mK/°/s when the input angular velocity is in the range of [-400%, 400%], using the upper chamber with a larger volume and Ar as the upper chamber's warming gas. The nonlinearity is 2.984%. The numerical analysis results extend the idea for the preparation and exploration of the same type of gyro in the future. © The Institution of Engineering & technology 2024.

关键词： Microchannels

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Strength Calculation and Simulation Study of Threaded Connection of Penetration Fuze 5

Strength Calculation and Simulation Study of Threaded Connec...

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5th International Seminar on Artificial Intelligence, Networking and information technology, AINIT 2024

作者： Xu, Pengzhao Ma, Guangsong Wang, Sen Cui, Shaokang Science and Technology On Electromechanical Dynamic Control Laboratory Xi'an710065 China Xi'an Institute of Electromechanical Information Technology Xi'an710065 China

ISBN: (纸本)9798350385557

Aiming at the problem of whether the connection strength of the thread of the penetration fuze is sufficient the operating requirements under the impact load of penetrating multi-layer target plate. Using theoretical calculation and numerical simulation methods, under three different excitation conditions (axial, axial + radial (0.3 times axial), axial + radial (0.6 times axial)) under the impact load of the multi-layer target plate, the shear strength of the thread connecting the screw and the fuze shell and the extrusion strength of the thread tooth surface were studied. The results show that the design margins under the three excitation conditions are 0.9, 0.6 and 0.1, respectively, and all have certain design margins, indicating that the connection thread of the fuze meets the strength requirements when subjected to the impact load of the penetrating multilayer target plate. © 2024 IEEE.

关键词： Numerical methods

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Consensus Positive Position Feedback Robust control for Vibration Reduction Under Fault Tolerance 2

Consensus Positive Position Feedback Robust Control for Vibr...

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2nd International Conference on Artificial Intelligence and Automation control, AIAC 2024

作者： Tian, Dalong Xue, Dong Li, Yuwei Shen, Hang Xue, Jiamin Du, Han Xi'an Institute of Electromechanical Information Technology Xi'an710065 China Science and Technology on Electromechanical Dynamic Control Laboratory Xi'an710065 China

ISBN: (纸本)9798331529147

In this study, active vibration robust control based on the mutual collaboration of agents under fault tolerance for large flexible smart truss structures (LFSTS) is investigated. First, the electromechanical coupling dynamic equation of the active truss is analyzed based on the finite element method. Subsequently, the positive position feedback (PPF) and consensus positive position feedback (CPPF) algorithms are compared, analyzing the reduction of the vibration relying on the optimal PZT stack actuator's position when agents collaborate in the designed communication topology network. Finally, simulations considering agent failure are performed to verify the fault tolerance and robustness of the active vibration control system. Compared with free vibration and PPF method, the results show that CPPF exhibits robust performance in rapidly suppressing the vibration of the LFSTS, which considerably enhances system reliability and improves pointing accuracy. © 2024 IEEE.

关键词： Large scale systems

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A Reverberation Suppression Method Using Angle-Delay-Doppler Deconvolution 6

A Reverberation Suppression Method Using Angle-Delay-Doppler...

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6th International Conference on information Communication and Signal Processing, ICICSP 2023

作者： Zhao, Yacong Fan, Jiahao Liu, Xionghou Yang, Yixin Sun, Chao School of Marine Science and Technology Northwestern Polytechnical University Xi'an710072 China Shaanxi Key Laboratory of Underwater Information Technology Xi'an710072 China

ISBN: (纸本)9798350339994

Much attention is attracted to the detection for the low-speed small target in a reverberation-limited environment. Exploiting the energy distribution differences between the target's echo and the reverberations (i.e., the bottom and the surface reverberations) in the angle, delay and Doppler domain, robust methods using the conventional beamformer (CBF) and a band of matched filters (MFs) associated with different Doppler shifts are proposed to suppress the reverberations. However, the CBF and the MFs suffer from low resolution and high sidelobe levels (SLLs), which is insufficient for the reverberation suppression. In order to solve this problem, a reverberation suppression method using the angle-delay-Doppler deconvolution is proposed in this paper. The Richardson-Lucy (R-L) algorithm is attached to the output of the CBF and the MFs to deblur the traditional angle-delay-Doppler output. The proposed method can effectively improve the 3-D resolution and suppress the 3-D SLLs, so as to suppress the bottom reverberations and the surface reverberations simultaneously. Simulations using respectively the CW pulse and the BPSK pulse demonstrate the effectiveness and superiority of the proposed method for reverberation suppression. © 2023 IEEE.

关键词： conventional beamformer deconvolution matched filter reverberation suppression

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MULTI-ROBOT PATH PLANNING AND COOPERATIVE OBSTACLE AVOIDANCE BASED ON MONTE-CARLO TREE SEARCH 10

MULTI-ROBOT PATH PLANNING AND COOPERATIVE OBSTACLE AVOIDANCE...

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10th International Symposium on Test Automation and Instrumentation, ISTAI 2024

作者： Dai, Juan Jing, Yanzhang Su, Zhong Zhu, Cui Beijing Key Laboratory of High Dynamic Navigation Technology Beijing Information Science & Technology University Beijing China Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing China School of Automation Beijing Information Science & Technology University Beijing China School of Information and Communication Engineering Beijing Information Science & Technology University Beijing China

ISBN: (纸本)9781837242672

With the rapid development of artificial intelligence technologies, multi-robot cooperative processing tasks are becoming more and more common in various applications. However, traditional single-robot planning algorithms show obvious limitations in dealing with complex social interactions and dynamic environments in the real world. To address this challenge, this paper applies Monte Carlo Tree Search (MCTS) to multi-robot path planning and proposes a collaborative obstacle avoidance motion planning algorithm based on MCTS. Specifically, the algorithm prunes the Monte Carlo tree by excluding cases that do not meet the robot speed constraints and potential collisions, which significantly improves the computational speed and success rate of the algorithm, making it applicable to the multi-robot path conflict problem. In addition, we design a policy space that conforms to the robot's operation and a cost function that meets the requirements of robot path planning to plan an efficient cooperative path for each robot. Through a series of simulation experiments, we demonstrate the algorithm's path planning and obstacle avoidance performance in a variety of conflict scenarios. The results show that the method is highly cooperative and effective in complex environments. © The Institution of Engineering & technology 2024.

关键词： Cost functions

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