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42nd Chinese control Conference, CCC 2023

作者： Ren, Ruichi Qin, Kaiyu Deng, Wantao Yue, Jiangfeng Shi, Mengji Lin, Boxian School of Aeronautics and Astronautics University of Electronic Science and Technology of China Chengdu611731 China The Aircraft Swarm Intelligent Sensing and Cooperative Control Key Laboratory of Sichuan Province Chengdu611731 China Southwest Institute of Technical Physics Chengdu610000 China

ISBN: (纸本)9789887581543

This paper investigates the fixed-time bipartite tracking consensus problem for heterogeneous multi-agent systems (HMASs) in a directed signed network. The HMASs consist of a fractional-order leader and first-order followers which subject to input disturbances. Not only the different dynamic characteristics, but also the directional communication networks among heterogeneous agents, which increase the difficulty of controller design. According to the Lyapunov stability theory and graph theory, a more compact fixed-time distributed protocol is proposed, which rejects bounded disturbances by simply specifying a sufficiently large gain coefficient for the nonlinear control input. Under the designed protocol, followers can achieve bipartite consensus tracking for leader agent within a preset settling time, which is independent of the initial values of agents. Finally, several simulation tests are presented to verify the effectiveness of the proposed controller. © 2023 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Multi agent systems

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Multi-target Emergency Rescue Path Planning in Marine Wind and Wave Environments 3

Multi-target Emergency Rescue Path Planning in Marine Wind a...

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2022 3rd International Conference on Mechanical Engineering and Materials, ICMEM 2022

作者： Sun, Zhi Yu, Yuanyuan Mei, Yiying Xiao, Xunqiao Shi, Zicang Key Laboratory of Civil Aviation Emergency Science and Technology CAAC Nanjing University of Aeronautics and Astronautics Nanjing211106 China Key Laboratory of Aircraft Environment Control and Life Support MIIT Nanjing University of Aeronautics and Astronautics Nanjing210016 China

With the development of marine-related industries, the number of tasks at sea has increased, and accidents there happen more frequently as well. Search and rescue are very challenging because of the extreme wind and wave environment at sea. Therefore, the state has been paying more attention to maritime emergency rescue. One part is emergency rescue path planning, which is crucial for helicopter emergency rescue at sea. In this paper, a series of multi-target rescue path solutions are created in order to solve the challenge of multi-target rescue path planning while taking into account sea wind and waves. The rescued targets' floating trajectory model is first established. Then, a recursive algorithm based on a permutation tree is given in response to the unsteady change of the targets' position at sea. The rescue path is planned with the goal of cutting down on the helicopter's search time. Finally, using the multi-target rescue in China's Taiwan Strait as an example, it is discovered that the overall time needed for the multi-target rescue is decreased by 7.03 minutes, and the efficiency of the rescue is improved by 13.3% in the wind and wave environment at sea. According to the research, the optimal rescue path shortens the time required for multi-target rescue at sea while increasing the effectiveness of helicopter rescue operations. © Published under licence by IOP Publishing Ltd.

关键词： Motion planning

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A Enhanced Feature Extraction for 3D Object Detection

A Enhanced Feature Extraction for 3D Object Detection

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System Simulation technology and its Application (CCSSTA), IEEE China Conference on

作者： Qingao Meng Jigang Tong Sen Yang Tian Xie Xin Jin The School of Electrical Engineering and Automation Tianjin University of Technology Tianjin China National Key Laboratory of Science and Technology on Aircraft Control Avic Xi’an Flight Automatic Control Research Institute Xi’an China

ISBN: (数字)9798350366600

ISBN: (纸本)9798350366617

3D object detection is crucial for autopilot and augmented reality applications. However, accurate feature extraction is the key to achieve high-precision detection, but traditional methods face the challenges of information loss and computational inefficiency. To address this, we propose an enhanced feature extraction method. We first divide the 3D space into voxel grids of varying scales. Then, using 3D sparse convolution, we extract features which are compressed along the Z axis to form BEV (Bird’s Eye View) feature images. An efficient multi-scale attention mechanism is then employed to enhance these BEV features. The refined feature map is subsequently located and classified through a CT-stacking module and RPN (Region Proposal Network). Voxel features from the proposal and 3D backbone are passed through a voxel RoI pool to directly extract RoI features from the 3D features for further refinement. Finally, a cascaded attention network refines the proposal and strengthens confidence prediction. Experiments on test set validate our method effectiveness, showing improved accuracy over traditional voxel methods. Overall, this enhanced feature extraction technique offers a promising solution for 3D target detection, particularly in scenarios demanding high real-time performance and precision.

关键词： Three-dimensional displays Accuracy Convolution Object detection Detectors Feature extraction Transformers Systems simulation Proposals Data mining

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Helicopter Rotor Fault Diagnosis based on IPSO and RVM 14

Helicopter Rotor Fault Diagnosis based on IPSO and RVM

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14th IEEE Global Reliability and Prognostics and Health Management Conference, PHM-Hangzhou 2023

作者： Si, Xiaoyi Zheng, Liang Zheng, Guo Wang, Jinglin Zhao, Zhenping Guo, Ziang School of Electronic Information Hangzhou Dianzi University Hangzhou China AVIC United Technology Center for Basic Research on Aircraft System Fault Diagnosis and Health Management Shanghai Institute of Aerospace Control Engineering Shangai China Aviation Key Laboratory of Science and Technology on Fault Diagnosis and Health Management Shanghai Institute of Aerospace Control Engineering Shangai China

ISBN: (纸本)9798350301359

To address the issue of low accuracy in traditional rotor fault diagnosis during the helicopter rotor fault diagnosis process, this paper presents a fault diagnosis method based on the Improved Particle Swarm Optimization (IPSO) algorithm for Relevance Vector Machine (RVM). The fitness function of the IPSO algorithm is defined as the mean squared error between the predicted classification results obtained through cross-validation and the actual classification. The IPSO algorithm is used to search for the optimal width factor of the RVM kernel function and establish the fault diagnosis model. Through simulation experiments and comparisons with Particle Swarm Optimization (PSO) algorithm-based RVM and Improved Particle Swarm Optimization-based Support Vector Machine (SVM), it is demonstrated that this approach, compared to traditional rotor fault diagnosis methods, effectively improves the accuracy of fault recognition. © 2023 IEEE.

关键词： Fault Diagnosis Helicopter Rotor Improved Particle Swarm Optimization Relevance Vector Machine

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Design of the magnetic circuit compensation type of large angle measurement of RVDT

Design of the magnetic circuit compensation type of large an...

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CSAA/IET International Conference on aircraft Utility Systems (AUS 2024)

作者： Hongchao Wang Hongyan Jiang Shijie Mao Yin Wang Chao Han Yuqing Zhao Aviation Key Laboratory of Science and Technology on Aero Electromechanical System Integration Nanjing Engineering Institute of Aircraft Systems Jincheng AVIC Nanjing Jiangsu 211106 People's Republic of China

ISBN: (数字)9781837242108

In order to meet the need of large angle measurement of actuating system, the miniaturization and dexterity is taken as the design idea. By redesigning the structure of rotor core and stator coil, the measuring angle is expanded without increasing the number of components, the volume and weight of RVDT. In addition, in order to improve the linearity of induced voltage of RVDT, the method of magnetic circuit compensation is adopted. When making the rotor core, tilting its side, the total magnetic flux of RVDT is stable when the rotor core rotates at any angle. By using theoretical analysis, simulation experiment and prototype test, the design of magnetic circuit compensation type of large angle measurement of RVDT is verified.

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An Optimization Method for the Swing of a Quadrotor Flight Suspension System

An Optimization Method for the Swing of a Quadrotor Flight S...

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System Simulation technology and its Application (CCSSTA), IEEE China Conference on

作者： Sen Yang Xinlian Zang Jigang Tong Tian Xie Xin Jin The School of Electrical Engineering and Automation Tianjin University of Technology Tianjin China National key laboratory of science and technology on aircraft control AVIC Xi’an Flight Automatic Control Research Institute Xi‘an China

ISBN: (数字)9798350366600

ISBN: (纸本)9798350366617

The aim of this study is to explore optimization control methods for suspension systems during the flight of quadcopters. The traditional control method of suspension system has some problems such as oscillation and instability, so an optimization scheme based on Gaussian pseudo-general algorithm is proposed in this paper. Through numerical simulation and actual flight test, the effectiveness of the optimization algorithm in improving system stability and reducing oscillation amplitude is verified. At the same time, this study conducted a comparative analysis of the suspension system of the quadrotor vehicle and the free fall body, and the optimization algorithm is found to be feasible and can well improve the control accuracy and stability of the system, and provide strong support for the safety of the quadrotor vehicle in various application scenarios.

关键词： Suspensions (mechanical systems) Accuracy Stability analysis Robustness Systems simulation Safety Vehicle dynamics Oscillators Numerical stability Quadrotors

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Numerical simulation and experimental research on Taylor Couette flow characteristics in air gap of aviation motor

Numerical simulation and experimental research on Taylor Cou...

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CSAA/IET International Conference on aircraft Utility Systems (AUS 2024)

作者： Hui Ma Shuyue Liang Hongbo Zhan Lin Qi Weijian Chen Aviation Key Laboratory of Science and Technology on Aero Electromechanical System Integration No.33 Shuige Road Nanjing People's Republic of China Key Laboratory of Aircraft Environment Control and Life Support MIIT Nanjing University of Areonautics and Astronautics No.29 Yudao Street Nanjing People's Republic of China

ISBN: (数字)9781837242108

A test bench with PIV technology was built and visualization research on Taylor vortex between concentric rotating cylinders was carried out to explore the flow morphology within the annular gap by changing the rotational speed of the inner cylinder. The numerical method and accuracy were verified by experiments. The selected turbulence model was then applied for numerical simulation of the Taylor Couette flow in a simplified air gap model of an aviation motor with smooth inner and outer walls. The Taylor Couette flow characteristics in the air gap under varying rotational speed were studied, and simulation results were given for flow with axial flow and without axial flow.

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Structural Crack Imaging Under Temperature Variation Based on Gaussian Mixture Model and Guided Wave

Structural Crack Imaging Under Temperature Variation Based o...

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Prognostics and System Health Management Conference (PHM-Qingdao)

作者： Jiaxuan Li Yuanqiang Ren Shenfang Yuan Limin Gao State Key Laboratory of Mechanics and Control for Aerospace Structures Nanjing University of Aeronautics and Astronautics Nanjing China Beijing Aircraft Technology Research Institute Commercial Aircraft Corporation of China Beijing China

ISBN: (数字)9798350354010

ISBN: (纸本)9798350354027

The environment and operation conditions (EOCs) of aircraft structures pose a significant challenge for advancing structural health monitoring from laboratory to practical applications. To address this problem, a Gaussian mixture model (GMM) and guided wave (GW) based imaging method is presented here for effective crack monitoring in aircraft metal structures under the influence of EOCs. In this method, in order to suppress the EOCs introduced uncertain influence and to generate EOCs independent feature signal, which is solely influenced by structural damages, the GMM is adopted. During the monitoring process, utilizing the derived EOCs independent feature signals enables the execution of GW imaging, yielding a damage map that facilitates accurate damage localization. The method is validated on a perforated aluminum plate from $-50{}^{\circ}\mathrm{C}$ to $80^{\circ}\mathrm{C}$ , confirming reliable damage imaging and localization.

关键词： Location awareness Temperature distribution Uncertainty Aluminum Imaging Reliability aircraft Prognostics and health management Monitoring Gaussian mixture model

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Seeking Secure Adaptive Distributed Discrete-Time Observer for Networked Agent Systems Under External Cyber Attacks

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IEEE Transactions on Consumer Electronics 2025年

作者： Li, Weihao Ren, Ruichi Shi, Mengji Lin, Boxian Qin, Kaiyu University of Electronic Science and Technology of China School of Aeronautics and Astronautics Chengdu611731 China Aircraft Swarm Intelligent Sensing Cooperative Control Key Laboratory of Sichuan Province Chengdu611731 China

In the era of Industry 5.0, the cooperation among components in Cyber-Physical Systems (CPS) plays a crucial role in achieving digital transformation and intelligent development. Distributed observers can simplify the design complexity of cooperative control schemes in intelligent networked industrial systems. However, the open nature of the information exchange network in these systems makes them vulnerable to cyber attacks. With this in mind, this paper designs a discrete-time secure adaptive distributed observer for networked agent systems under Denial of Service (DoS) attacks. The observer enables agents to monitor reference state information effectively, even when the system matrix is globally unknown and unstable. To enhance security, we propose adaptive secure update rules that respond to compromised communication links, ensuring the ability of the observer to generate reference trajectories during DoS attacks. Furthermore, sufficient algebraic conditions are obtained for the convergence of the proposed observer, employing the analysis approach based on infinite products of sub-stochastic matrices. Finally, some numerical simulation results are provided to verify the effectiveness of the proposed secure adaptive distributed observer. © 1975-2011 IEEE.

关键词： Cyber attacks

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GPIO Based Iterative Learning control for Manipulators with Time-Varying Disturbances 42

GPIO Based Iterative Learning Control for Manipulators with ...

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42nd Chinese control Conference, CCC 2023

作者： Lu, Huangyuwei Wang, Zuo Sun, Jiankun Xiao, Xi Li, Shihua School of Automation Southeast University Nanjing210096 China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Nanjing210096 China Shenzhen Research Institute Southeast University Shenzhen518063 China School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan430074 China Aviation Key Laboratory of Science and Technology on Aero Electromechanical System Integration Nanjing211106 China

ISBN: (纸本)9789887581543

To improve the disturbance rejection ability and repetitive tracking accuracy of manipulators, a composite iterative learning control (ILC) scheme via generalized proportional integral observer (GPIO) is proposed. A high-order polynomial is first employed to model the time-varying disturbances that include unmodeled dynamics, parameter uncertainties and load fluctuations. A GPIO is then designed to estimate the disturbances and high-order time derivatives. By introducing estimations into a PD-type ILC at each iteration, a composite control scheme is obtained, such that the undesirable influence of time-varying disturbances can be effectively attenuated in the repetitive tracking process of manipulators. In this paper, the rigorous stability analysis of the closed-loop system is presented to guarantee that the tracking error exponentially converges to zero as the iteration number tends to infinity. The effectiveness of the proposed control scheme is finally verified by simulation results. © 2023 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Disturbance rejection

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