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High stability and precision sliding mode robust control of two-axis inertial stabilization platform

High stability and precision sliding mode robust control of ...

引用

International Conference on Guidance, Navigation and control, ICGNC 2024

作者： Bu, Suwan Yan, Liang Du, Nannan He, Xinghua School of Automation Science and Electrical Engineering Beihang University Beijing100191 China Ningbo Institute of Technology Beihang University Ningbo315800 China Science and Technology on Aircraft Control Laboratory Beihang University Beijing100191 China Tianmushan Laboratory Hangzhou310023 China

ISBN: (纸本)9789819622313

This paper proposes a double-closed-loop control method applied to stability angle of an inertial stable platform. Traditional control methods often do not consider enough the dynamic coupling of the carrier, and the control effect cannot meet expectations. This paper considers the carrier and inertial stable platform as an overall dynamic system, derives its complete dynamics and designs a corresponding sliding mode robust controller based on this. The simulation shows the control effect of angle and angular velocity, showing the advantages of this method. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Robust control

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A Method for Evading Penetration and Guidance of the Hypersonic Missile

A Method for Evading Penetration and Guidance of the Hyperso...

引用

第43届中国控制会议

作者： Zhi Lin Jianglong Yu Hong Jiang Xiwang Dong Zhang Ren Qingke Tan Rui Lv Zhuo Liang School of Automation Science and Electrical Engineering Science and Technology on Aircraft Control LaboratoryBeihang University Institute of Unmanned System Beihang University Institute of Artificial Intelligence Beihang University China Academy of Launch Vehicle Technology

ISBN: (数字)9789887581581

ISBN: (纸本)9798350366907

Aiming at the problem of evading penetration of the hypersonic missile,this paper proposes a method to control the overload and maneuver time of the hypersonic missile for evasive ***,the kinematic model,the kinetic model,and the attack-defense confrontation model of the hypersonic missile and interceptor are ***,the evaluation function model of the hypersonic missile penetration effect is established,and a method to determine the penetration parameters with the maximum value of evaluation function is ***,the critical parameters of penetration,including the optimal overload and maneuver time,are obtained through online ***,the error conditions of environmental noise and time delay are introduced into the critical parameters,and the Monte Carlo simulation verifies that the evasive penetration method can improve the success rate of penetration of a single hypersonic missile against two interceptors.

关键词： Hypersonic missile attack-defense confrontation overload maneuver time Monte Carlo Simulation

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An improved event-trigger-based robust 6-DOF spacecraft formation control scheme under restricted communication

An improved event-trigger-based robust 6-DOF spacecraft form...

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2022 Chinese Automation Congress, CAC 2022

作者： Liu, Yan Qin, Kaiyu Shi, Mengji Cao, Lu Li, Weihao Lin, Boxian University of Electronic Science and Technology of China School of Aeronautics and Astronautics Chengdu China Aircraft Swarm Intelligent Sensing Cooperative Control Key Laboratory of Sichuan Province Chengdu China Chinese Academy of Military Science National Innovation Institute of Defense Technology Beijing China

ISBN: (纸本)9781665465335

This paper addresses the robust six-degree-of-freedom (6-DOF) formation control problem for groups of spacecraft with constraints that include: restricted communication, unknown external perturbations, model uncertainties, and attitude orbit coupling. First, a Zeno-free trigger function is presented based on the event trigger mechanism to avoid continuous communication and save bandwidth resources;Then, the RBF neural networks are adopted to approximate the model uncertainties and external perturbations of the system;Furthermore, a distributed robust formation controller is designed and the coupling between the event trigger mechanism and neural networks is analyzed, and by designing Lyapunov functions, it is theoretically demonstrated that the formation error of spacecraft can converge to an arbitrarily small residual set. Finally, the simulation experiments are given to validate that the combination of the time-triggered mechanism and neural networks can effectively reduce the number of system controller updates, save communication bandwidth resources and weaken the impact of uncertainties on system stability. © 2022 IEEE.

关键词： Spacecraft

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The Formation control Based on the Direction Coordination for Multiple Hypersonic Vehicles

The Formation Control Based on the Direction Coordination fo...

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第42届中国控制会议

作者： Yuqing Zhang Jianglong Yu Zhang Ren Xiwang Dong Qingdong Li Yan Zhou Kaiqiang Liang Junxiang Wang School of Automation Science and Electrical Engineering Science and Technology on Aircraft Control LaboratoryBeihang University Institute of Artificial Intelligence Beihang University China Academy of Launch Vehicle Technology

In this paper,a formation strategy based on the direction coordination and consistency of velocity and the optimization of the initial states is introduced for the formation of multiple hypersonic ***,considering the mode of leader-follower,a two-dimensional controller is designed based on the dynamic model of hypersonic vehicle,which could realize the consistency of flight path angle and azimuth angle between followers and ***,the initial states of the vehicles and the control parameters of the controller are taken as optimization variables,and the deformation of the formation during the whole flight is designed as the objective ***,the combination of the PSACO(particle swarm ant colony optimization) algorithm and the SQP(sequential quadratic programming) algorithm is used to solve the optimization *** simulation results show that the multiple hypersonic vehicles can achieve better formation flight based on the above methods.

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Optimal Scaled Average Consensus control of Discrete-Time Multi-Agent Systems Based on Adaptive Dynamic Programming 42

Optimal Scaled Average Consensus Control of Discrete-Time Mu...

引用

42nd Chinese control Conference, CCC 2023

作者： Zhai, Peiyu Shi, Mengji Li, Weihao Yue, Jiangfeng Qin, Kaiyu Bai, Jinwei Hua, Ruhao School of Aeronautics and Astronautics University of Electronic Science and Technology of China Chengdu611731 China Aircraft Swarm Intelligent Sensing and Cooperative Control Key Laboratory of Sichuan Province Chengdu611731 China Computational Aerodynamics Institute China Aerodynamics Research and Development Center Mianyang621000 China

ISBN: (纸本)9789887581543

This paper investigates the data-driven scaled average consensus control problem of discrete-time (DT) multi-agent systems. An optimal distributed control scheme is designed to solve this problem and enable model-free online training based on adaptive dynamic programming (ADP). Firstly, the optimal scaled average consensus problem is defined via Bellman optimality principle. Then, the ADP algorithm is designed to calculate a proper approximate solution for the discrete-time Hamilton-Jacobi-Bellman (DT-HJB) equation based on generalized policy iteration. In addition, critic-actor neural networks are well constructed to fit the iterative control law and performance indices to realize the model-free online training for the data-driven control. Finally, some simulation results are given to verify the validity of the proposed optimal distributed control scheme. © 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 Novel Variable Impedance PM Machines with Separated Fault Tolerant Ring

A Novel Variable Impedance PM Machines with Separated Fault ...

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IEEE Energy Conversion Congress and Exposition, ECCE

作者： Runyu Wang Xinggang Fan Dawei Li Ronghai Qu Yongtao Peng Xiaopeng Zhao State Key Laboratory of Advanced Electromagnetic Engineering and Technology School of Electrical and Electronic Engineering Huazhong University of Science and Technology Wuhan China National Key Laboratory of Science and Technology on Aircraft Control AVIC Xi’an Flight Automatic Control Research Institute Xi’an China

This paper aims to analyze and design a novel variable impedance permanent magnet (PM) machine with separated fault tolerant ring for high reliability applications. The proposed topology automatically changes from low impedance to ultra-high impedance under turn-to-turn short-circuit without complex fault diagnosis and control strategies. First, the topology of the variable impedance PM machine is introduced. Then, the magnetic field distribution of the separate fault tolerant ring under health and fault is analyzed to qualitatively reveal the fault tolerance principle. Finally, a turn-to-turn short-circuit model considering the core saturation effect is developed for investigating the mechanism of fault tolerance performance improvement. It is found that the short-circuit current and torque ripple after the fault of the variable impedance machines are significantly lower than those of the conventional ones.

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DFDNet: Disentangling and Filtering Dynamics for Enhanced Video Prediction 39

DFDNet: Disentangling and Filtering Dynamics for Enhanced Vi...

引用

39th Annual AAAI Conference on Artificial Intelligence, AAAI 2025

作者： Gan, Lianqiang Lai, Junyu Ju, Jingze Gao, Lianli Bin, Yi School of Aeronautics and Astronautics University of Electronic Science and Technology of China China Aircraft Swarm Intelligent Sensing and Cooperative Control Key Laboratory of Sichuan Province China School of Computer Science and Engineering University of Electronic Science and Technology of China China School of Computer Science and Technology Tongji University China

ISBN: (纸本)157735897X

Videos inherently contain complex temporal dynamics across various spatial directions, often entangled in ways that obscure effective dynamic extraction. Previous studies typically process video spatiotemporal features without disentangling, which hampers their ability to extract dynamic information. Additionally, the extraction of dynamics is disrupted by transient high-dynamic information in video sequences, e.g., noise or flicker, which has received limited attention in the literature. To tackle those problems, this paper proposes the Disentangling and Filtering Dynamics Network (DFDNet). Firstly, to disentangle the interwoven dynamics, DFDNet decomposes the spatially encoded video sequences into lower dimensional sequences. Secondly, a learnable threshold filter is proposed to eliminate the transient high-dynamic information. Thirdly, the model incorporates an MLP to extract the temporal dependencies from the disentangled and filtered sequences. DFDNet demonstrates competitive performance across four chosen datasets, including both low and high-resolution videos. Specifically, on the low-resolution Moving MNIST dataset, DFDNet achieves a 19% improvement on MSE over the previous state-of-the-art model. On the high-resolution SJTU4K dataset, it outperforms the previous state-of-the-art model by 10% on the LPIPS metric under similar inference time. © 2025, Association for the Advancement of Artificial Intelligence (***). All rights reserved.

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Impact Time Cooperative Guidance for Multi-Missile System Based on Incremental Learning

Impact Time Cooperative Guidance for Multi-Missile System Ba...

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Chinese control Conference (CCC)

作者： Xuheng Li Jianglong Yu Xiwang Dong Zhang Ren Zhuo Feng Biao Liang Science and Technology on Aircraft Control Laboratory School of Automation Science and Electrical Engineering Beihang University Beijing P.R. China Beijing Institute of Control and Electronic Technology Beijing P.R. China

An impact time cooperative guidance method based on incremental learning is proposed for multi-missile cooperative guidance problem in the attack scenario. Firstly, a guidance model is established to represent the relationship of the missiles and the target. Secondly, an impact time coordinated guidance law based on the consensus method is designed. Then, time-to-go of the missile is predicted using an incremental learning algorithm, so that the accuracy of time-to-go can be better than the results calculated by traditional methods. Finally, the trained neural network is used to predict time-to-go. The results show that the algorithm can be used in the cooperative guidance law to complete the coordination in time, which is superior to the traditional guidance rate in coordination and has advantage in the scene of large maneuvering target.

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Learning-Based Predictive-Corrector Reentry Guidance for Hypersonic Vehicles

Learning-Based Predictive-Corrector Reentry Guidance for Hyp...

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International Conference on Autonomous Unmanned Systems, ICAUS 2021

作者： Wu, Tiancai Wang, Honglun Liu, Yiheng Yu, Yue Lun, Yuebin School of Automation Science and Electrical Engineering Beihang University Beijing100191 China Science and Technology On Aircraft Control Laboratory Beihang University Beijing100191 China Shenyuan Honors College Beihang University Beijing100191 China Beijing Aerospace Automatic Control Institute Beijing100854 China

ISBN: (纸本)9789811694912

A learning-based predictive-corrector guidance method for hypersonic vehicles with a high lift-to-drag ratio is proposed in this paper. First, based on the quasi equilibrium-glide condition, a traditional predictive-corrector guidance algorithm is employed to address reentry guidance with path constraint. Then, to avoid the ubiquitous phenomenon of large phugoid oscillation, a learning-based altitude rate feedback mechanism is proposed. The feedback gain is scheduled adaptively by a deep reinforcement learning strategy to enhance the adaptability and robustness of the guidance algorithm in different flight environments. Finally, the numerical simulation demonstrates the effectiveness of the proposed algorithm. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Deep learning

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