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Aircraft Intelligent Guidance Technology for Evasion and Penetration

Aircraft Intelligent Guidance Technology for Evasion and Pen...

引用

International Conference on Autonomous Unmanned Systems, ICAUS 2021

作者： Li, Jinbai Wang, Honglun Liu, Yiheng Wu, Tiancai School of Automation Science and Electrical Engineering Beihang University Beijing100191 China The Science and Technology on Aircraft Control Laboratory Beihang University Beijing100191 China

ISBN: (纸本)9789811694912

In this paper, in order to improve the performance of aircraft evasion and penetration, an intelligent guidance algorithm is proposed by combining twin delayed deep deterministic policy gradient (TD3) and interfered fluid dynamical system (IFDS). First, the guidance model and simulation environment are established. On this basis, the basic guidance algorithm IFDS and the deep reinforcement learning method TD3 are introduced respectively, and the intelligent guidance algorithm is designed. Then, this paper compares and analyzes the simulated flight path of the aircraft obtained by the traditional guidance algorithm and the intelligent guidance algorithm. Finally, simulations show that the intelligent guidance algorithm can guide the aircraft to avoid obstacles and missiles, and demonstrate the advantages of the intelligent guidance algorithm. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Aircraft

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Fixed-Time Inter-Axis Synchronization control of Manipulators based on Active Disturbance Rejection Method

Fixed-Time Inter-Axis Synchronization Control of Manipulator...

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Data Driven control and Learning Systems (DDCLS)

作者： Hanpu Zhao Yang Liu Seventh Research Division Center for Information and Control School of Automation Science and Electrical Engineering Beihang University (BUAA) Beijing China

ISBN: (数字)9798350361674

ISBN: (纸本)9798350361681

This paper investigates the fixed-time inter-axis synchronization tracking control for n-degree of freedom (DOF) uncertain manipulators. First, a dynamic model for the manipulator is presented, and a fixed-time disturbance observer is designed to compensate for system uncertainties and external disturbances. Then, a non-singular fixed-time active disturbance rejection inter-axis synchronization controller is designed, which not only avoids the singularity problem in traditional terminal sliding mode control, but also realizes the active suppression of disturbances. It is proved that the tracking error of each joint of the uncertain manipulator converges synchronously to zero within a fixed time. Finally, simulations are conducted with a 2-DOF manipulator, and results demonstrate that the method can achieve fixed-time inter-axis synchronization control and possesses robustness against the lumped disturbances.

关键词： Learning systems Uncertainty Trajectory tracking 2-DOF Disturbance observers Stability analysis Robustness

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A multi-strategy MOCSO algorithm based on adaptive swarm partition

A multi-strategy MOCSO algorithm based on adaptive swarm par...

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第43届中国控制会议

作者： Hong-Xuan Zheng Wei Zhang School of Electrical Engineering and Automation Henan Polytechnic University Henan Key Laboratory of Intelligent Detection and Control of Coal Mine Equipment

ISBN: (数字)9789887581581

ISBN: (纸本)9798350366907

Balancing the convergence and diversity is a crucial aspect in solving multi-objective optimization ***, many optimization algorithms suffer from inefficient in maintaining diversity and the loss of selection pressure may occur when updating the swarm. Additionally, most diversity maintenance strategies cannot take the distance between the swarm and the true Pareto front(PF) into consideration, which will lead the non-dominated solutions away from the true PF. To address these issues, a multi-strategy multi-objective competitive swarm optimization algorithm based on adaptive swarm partition(aspmsMOCSO) is proposed. Firstly, swarm partition based on a fusion index is proposed to overcome the insufficient diversity. Secondly, the weight parameters are adaptively adjusted to enhance the feedback regulation ability of the algorithm for further balancing the convergence and diversity. Finally, a multi-strategy is conducted for the subswarms to enhance the evolution pressure towards the real PF. The performance of the proposed algorithm is validated using the ZDT test *** results demonstrate that the proposed algorithm can achieve favorable performance compared with other algorithms.

关键词： Multi-objective optimization Competitive swarm optimization Adaptive swarm partition Multi-strategy

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Boundary Sliding Mode control of a Diffusion Process under Sampling and Hold: Chattering Analysis

Boundary Sliding Mode Control of a Diffusion Process under S...

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International Workshop on Variable Structure Systems, VSS

作者： Paul Mayr Stefan Koch Markus Reichhartinger Alessandro Pisano Institute of Automation and Control Graz University of Technology Graz Austria Department of Electrical and Electronic Engineering University of Cagliari Cagliari Italy

ISBN: (数字)9798350353686

ISBN: (纸本)9798350353693

This paper investigates discretization chattering effects in a distributed-parameter process governed by the diffusion PDE and equipped with a sliding-mode-based boundary controller. The collocated measurement is sampled in time and the boundary control signal is applied through a zero-order-hold element. The limit cycle modes constituting the chattering effects are determined exactly by exploiting the difference equation method, yielding their period and spatially dependent amplitude. Simulation results show that the theoretically determined limit cycle modes occur in the closed-loop system.

关键词： Variable structure systems Simulation Difference equations Conferences Process control Limit-cycles Diffusion processes Time measurement Closed loop systems Sliding mode control

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Fault-Tolerant control for Hypersonic Reentry Vehicles with RCS

Fault-Tolerant Control for Hypersonic Reentry Vehicles with ...

引用

International Conference on Autonomous Unmanned Systems, ICAUS 2021

作者： Yang, Zhiyuan Wang, Honglun Wu, Tiancai Liu, Yiheng Ren, Bin School of Automation Science and Electrical Engineering Beihang University Beijing100191 China The Science and Technology on Aircraft Control Laboratory Beihang University Beijing100191 China

ISBN: (纸本)9789811694912

In this paper, a backstepping fault-tolerant control scheme is proposed, enabling hypersonic reentry vehicles which are only controlled by reaction control system with unknown actuator faults and external disturbances to accurately track the attitude commands. Firstly, a control-oriented hypersonic reentry vehicle model which regards two factors mentioned above as lumped disturbance are stated. Then, a high-order sliding mode observer is used to estimate and compensate the lumped disturbance and achieve the purpose of anti-disturbance. Based on the disturbance observer and back-stepping control method, the proposed fault-tolerant control scheme is designed. Meanwhile, considering the characteristic of reaction control system, specific control allocation and PWPF modem are adopted in the control scheme. Finally, the stability and effectiveness of the proposed controller are verified from theoretical analysis and numerical simulations respectively. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Backstepping

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Network Intrusion Detection Based on Graph Neural Network and Ensemble Learning

Network Intrusion Detection Based on Graph Neural Network an...

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2023 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes, SAFEPROCESS 2023

作者： Zhang, Lina Wang, Yang Wu, Minyue Wang, Yanwei Zheng, Ying Huazhong University of Science and Technology The Belt and Road Joint Laboratory on Measurement and Control Technology School of Artificial Intelligence and Automation Wuhan430074 China Wuhan Institute of Technology School of Mechanical & Electrical Engineering Wuhan430073 China

ISBN: (纸本)9798350337754

Network technology has become an inseparable part of daily life, which is easily attacked by some criminals. Therefore, ensuring the security of network becomes an urgent problem. In the past few years, various deep learning techniques have been put forward for identifying network intrusions. However, the majority of these approaches overlook the non-Euclidean nature of relationships within network intrusion data. In this paper, graph neural network (GNN) is used to learn the relationship between data. The sample balancing module is to address the significant disparity between the number of intrusive samples and normal samples. The results obtained from the experiments indicate that the suggested approach can enhance the effectiveness of the intrusion detection system. © 2023 IEEE.

关键词： Intrusion detection

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引用

17th Chinese Intelligent Systems Conference, CISC 2021

作者： Liu, Binye Wang, Jinlong Wu, Kaitian Xu, Zhezhuang College of Electrical Engineering and Automation Fuzhou University Fuzhou350000 China Key Laboratory of System Control and Information Processing Ministry of Education Shanghai200240 China

ISBN: (纸本)9789811663192

The robots have been used in the inspection of industrial wireless sensor networks (IWSNs), that includes data collection and wireless charging. The sensor nodes are always densely deployed and their appearances are similar, thus it is a non-trivial challenge to identify a specific node by the machine vision. To solve this problem, we propose to use the proximity estimation algorithm, which uses wireless signals to estimate neighbor nodes, to help the robot to identify a specific node in the network. The algorithm is deployed a patrol inspection testbed with a mobile robot and multiple sensor nodes, and the experiments are executed to verify its performance. The experimental results show that the proximity estimation algorithm is a reasonable solution to identify similar nodes in the inspection of the IWSN. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Inspection

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Simulation Method for Reliability Prediction of Switching Power Supply injected with PoF Model

Simulation Method for Reliability Prediction of Switching Po...

引用

System Reliability and Safety engineering (SRSE), International Conference on

作者： Kaiwen Xiao Cen Chen Weiming Liu Shujuan Wang Xiaoying Gao Guofu Zhai Department of Electrical Engineering & Automation Harbin Institute of Technology Harbin China Beijing Aerospace Automatic Control Institute Beijing China

ISBN: (数字)9798350356083

ISBN: (纸本)9798350356090

Switching power supplies are widely used in aerospace, new energy and many other fields. During long-term operation, various electronic components in these supplies experience performance degradation due to continuous electrical and thermal stress, leading to changes in output characteristics. This is the fundamental reason affecting the reliability of switching power supplies. However, the current combination of physics of failure (PoF) models and simulation technique is imperfect, and most methods cannot achieve batch injection of multiple device failures. This paper proposes a reliability prediction simulation method for switching power supplies based on PoF model injection. By focusing on a switching circuit, the approach involves digital twin modeling and validation, failure mechanism and sensitivity analysis, key failure components degradation modeling, and batch degradation simulation. This method achieves continuous degradation data of multiple components based on the PoF model through batch injection, improving the efficiency and accuracy of reliability prediction for switching power supplies.

关键词： Degradation Power supplies Switches Predictive models Reliability engineering Mathematical models Data models Integrated circuit modeling Thermal stresses Stress

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Disturbance Rejection for Pedaling Rehabilitation Robot Based on Integration of Equivalent-Input-Disturbance and Repetitive control Methods 32

Disturbance Rejection for Pedaling Rehabilitation Robot Base...

引用

32nd IEEE International Symposium on Industrial Electronics, ISIE 2023

作者： Zhou, Yujian She, Jinhua Wang, Feng Iwasaki, Makoto School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan430074 China Tokyo University of Technology School of Engineering Tokyo Hachioji192-0982 Japan Nagoya Institute of Technology Department of Electrical and Mechanical Engineering Nagoya466-8555 Japan

ISBN: (纸本)9798350399714

This study integrated an improved equivalent-input-disturbance (EID) and a repetitive control methods to ensure reference tracking and enhance disturbance-rejection performance for a pedaling rehabilitation robot. A repetitive controller ensures steady-state tracking of a periodic reference input. An EID estimator with a state observer estimates and compensates for the effect of disturbances generated by patients with lower-limb impairment. The stability condition of the closed-loop system is analyzed based on the Lyapunov stability theory. Simulation results show the effectiveness of this method. © 2023 IEEE.

关键词： Disturbance rejection

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Research on autonomous charging of robot based on fuzzy improved DWA algorithm 3

Research on autonomous charging of robot based on fuzzy impr...

引用

3rd International Conference on Advanced Algorithms and Neural Networks, AANN 2023

作者： Peng, Yanchao Zhang, Yongli Yi, Guorong Si, Wei Li, Xinqi School of Automation and Electrical Engineering Tianjin University of Technology and Education Tianjin China Tianjin Key Laboratory of Information Sensing and Intelligent Control Tianjin China School of Information Technology Beijing Institute of Technology Guangdong Zhuhai China

ISBN: (纸本)9781510668355

The fuzzy improved DWA autonomous charging algorithm is proposed for the problems of high hardware cost, complex docking process and low docking efficiency of robot autonomous charging technology. A horizontal attitude adjustment function and a vertical attitude adjustment function have been added to the azimuth evaluation function of the traditional DWA algorithm. During the robot electrode docking process, the robot uses a fuzzy control algorithm to adjust the weight coefficients of the horizontal posture adjustment function and the weight coefficients of the vertical posture adjustment function according to the horizontal distance between itself and the charging pile, in order to control the robot's direct navigation to the charging pile. © 2023 SPIE.

关键词： Robots

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