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2018 IEEE CSAA Guidance, Navigation and Control Conference (CGNCC)最新文献

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Author Index Volume 1 (2021) 作者索引卷1 (2021)
Pub Date : 2021-12-01 DOI: 10.1142/s2737480721990016
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引用次数: 0
Adaptive Modeling for Downwash Effects in Multi-UAV Path Planning 多无人机路径规划中下冲效应的自适应建模
Pub Date : 2021-12-01 DOI: 10.1142/s2737480721400057
C. Chen, H. Liu
This paper develops a novel method to model the air flow downwash force generated by the quadrotor unmanned aerial vehicle (UAV) and its effect on the neighboring UAVs. Each UAV is shaped by a virtual structure for collision-free path planning. The shape is modified from a standard spherical body to a proposed adaptive cylinder to optimize the path planning while minimizing the downwash impact. The cylinder height varies based on the UAV circumstance and the predicted downwash impact. Furthermore, the downwash model can aid in the cylinder height extreme value appointment. A flock-based path planning algorithm is investigated in this study to compare the spherical UAV shape model with the proposed cylindrical UAV shape model. The UAV with the adaptive cylindrical model is simulated and verified via Gazebo and Robot Operating System (ROS) simulation platform.
本文提出了一种新的方法来模拟四旋翼无人机产生的气流下洗力及其对邻近无人机的影响。每个无人机都由一个虚拟结构进行无碰撞路径规划。形状从标准的球形体修改为拟议的自适应圆柱体,以优化路径规划,同时最大限度地减少下冲影响。气缸高度根据无人机环境和预测的下冲影响而变化。此外,下洗模型有助于缸高极值的确定。本文研究了一种基于群体的无人机路径规划算法,将所提出的无人机形状模型与球形无人机形状模型进行了比较。利用Gazebo和机器人操作系统(ROS)仿真平台,对采用自适应圆柱模型的无人机进行了仿真验证。
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引用次数: 1
Fully Distributed Adaptive Fault-Tolerant Attitude Synchronization for a Team of Heterogenous Minisatellites 异构小卫星组的全分布自适应容错姿态同步
Pub Date : 2021-12-01 DOI: 10.1142/s2737480721400021
Hao Liu, Deyuan Liu, M. Cheng
In this paper, the fault-tolerant attitude synchronization control problem for a team of heterogeneous minisatellites is addressed, subject to multiple actuator faults and uncertainties in the satellite dynamics. A fully distributed adaptive fault-tolerant controller, completely independently of the knowledge of the global information, is proposed to achieve the desired attitude synchronization. The attitude tracking error of the global closed-loop control system is proven to converge into a given neighborhood of the origin ultimately. Simulation results are given to validate the effectiveness and advantages of the proposed adaptive controller for the heterogeneous satellite formation flying team, against the influence of actuator faults and uncertainties.
研究了多执行器故障和卫星动力学不确定性条件下异构小卫星群的容错姿态同步控制问题。为了实现理想的姿态同步,提出了一种完全独立于全局信息知识的全分布式自适应容错控制器。证明了全局闭环控制系统的姿态跟踪误差最终收敛到原点的给定邻域内。仿真结果验证了该控制器在不确定因素和执行器故障影响下对异构卫星编队飞行控制的有效性和优越性。
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引用次数: 1
Editorial of Special Issue on UAV Autonomous, Intelligent and Safe Control 无人机自主、智能与安全控制专刊编辑
Pub Date : 2021-12-01 DOI: 10.1142/s2737480721020015
Youmin Zhang, D. Luo
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引用次数: 4
New Result on Interception of Stationary Targets at Arbitrary Time-Varying Speed 任意时变速度静止目标拦截的新结果
Pub Date : 2021-10-20 DOI: 10.1142/S2737480722500212
Yuanhe Liu, Kebo Li, Yangang Liang, Jin Tang
In this paper, some new results on time-varying missile against a stationary target using pure proportional navigation (PPN) are developed in the planar interception problem. First, the relative motion equation is established in arc-length domain based on the differential geometry theory, which eliminates the influence of time-varying missile speed. Then, the closed-form solution of time-varying speed missile intercepting stationary target with PPN is deduced, and the interception performance is analyzed. Additionally, considering the missile maneuvering acceleration limit, the capture region of time-varying speed missile is analyzed. Finally, the results derived in this paper are verified by numerical simulation analysis for various scenarios.
本文在平面拦截问题中,给出了纯比例导航(PPN)在时变导弹对抗静止目标问题上的一些新结果。首先,基于微分几何理论在弧长域建立了相对运动方程,消除了弹速时变的影响;在此基础上,推导了时变速度导弹利用PPN拦截静止目标的封闭解,并对其拦截性能进行了分析。此外,考虑导弹机动加速度限制,分析了时变速度导弹的捕获区域。最后,通过不同场景下的数值模拟分析验证了本文的结论。
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引用次数: 0
Autonomous Reconfiguration Strategy Based on Reconfigurability Evaluation 基于可重构性评价的自主重构策略
Pub Date : 2021-09-01 DOI: 10.1142/s2737480721500151
Heyu Xu, Wenbo Li, Kebei Zhang, F. Fu
This paper aims to improve the autonomous operational capabilities of spacecraft. For a complex system with physical coupling and flexible attachments, an autonomous reconfiguration strategy based on reconfigurability evaluation is proposed. First, a quantitative evaluation index for reconfigurability is given based on operator theory to fully exploit the potential of system reconfigurability under resource constraints. Then, specific requirements and evaluation methods for autonomous reconfiguration are proposed in accordance with the results, thereby providing a theoretical reference for the design of reconfiguration strategy methods. Thus, reconfigurability is maximized from the design point of view. Finally, the validity and correctness of the method are verified by simulation.
本文旨在提高航天器的自主作战能力。针对具有物理耦合和柔性附件的复杂系统,提出了一种基于可重构性评价的自主重构策略。首先,基于算子理论给出了系统可重构性的定量评价指标,充分挖掘了资源约束下系统可重构性的潜力;然后根据研究结果提出了自主重构的具体要求和评价方法,为重构策略方法的设计提供理论参考。因此,从设计的角度来看,可重构性是最大化的。最后,通过仿真验证了该方法的有效性和正确性。
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引用次数: 0
Interlaced Attitude Estimation for Spacecraft Using Vector Observations 基于矢量观测的航天器交错姿态估计
Pub Date : 2021-09-01 DOI: 10.1142/s2737480721500175
Lubin Chang
This paper proposes an interlaced attitude estimation method for spacecraft using vector observations, which can simultaneously estimate the constant attitude at the very start and the attitude of the body frame relative to its initial state. The arbitrary initial attitude, described by constant attitude at the very start, is determined using quaternion estimator which requires no prior information. The multiplicative extended Kalman filter (EKF) is competent for estimating the attitude of the body frame relative to its initial state since the initial value of this attitude is exactly known. The simulation results show that the proposed algorithms could achieve better performance compared with the state-of-the-art algorithms even with extreme large initial errors. Meanwhile, the computational burden is also much less than that of the advanced nonlinear attitude estimators.
提出了一种基于矢量观测的航天器交错姿态估计方法,该方法可以同时估计起始时刻的恒定姿态和体架相对于初始状态的姿态。任意初始姿态由初始姿态常数描述,利用四元数估计确定,不需要先验信息。乘式扩展卡尔曼滤波(EKF)由于姿态的初始值是已知的,因此能够估计出物体框架相对于其初始状态的姿态。仿真结果表明,即使在初始误差极大的情况下,所提算法也能取得比现有算法更好的性能。同时,其计算量也比先进的非线性姿态估计量小得多。
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引用次数: 0
A Nonlinear Optimal Control Approach for the Vertical Take-off and Landing Aircraft 垂直起降飞机的非线性最优控制方法
Pub Date : 2021-09-01 DOI: 10.1142/s2737480721500126
G. Rigatos
The paper proposes a nonlinear optimal control approach for the model of the vertical take-off and landing (VTOL) aircraft. This aerial drone receives as control input a directed thrust, as well as forces acting on its wing tips. The latter forces are not perpendicular to the body axis of the drone but are tilted by a small angle. The dynamic model of the VTOL undergoes approximate linearization with the use of Taylor series expansion around a temporary operating point which is recomputed at each iteration of the control method. For the approximately linearized model, an H-infinity feedback controller is designed. The linearization procedure relies on the computation of the Jacobian matrices of the state-space model of the VTOL aircraft. The proposed control method stands for the solution of the optimal control problem for the nonlinear and multivariable dynamics of the aerial drone, under model uncertainties and external perturbations. For the computation of the controller’s feedback gains, an algebraic Riccati equation is solved at each time-step of the control method. The new nonlinear optimal control approach achieves fast and accurate tracking for all state variables of the VTOL aircraft, under moderate variations of the control inputs. The stability properties of the control scheme are proven through Lyapunov analysis.
针对垂直起降飞机模型,提出了一种非线性最优控制方法。这种空中无人机接收作为控制输入的定向推力,以及作用在其翼尖上的力。后一种力不垂直于无人机的体轴,而是倾斜了一个小角度。在控制方法的每次迭代中,对临时工作点进行泰勒级数展开,对垂直起降飞行器的动力学模型进行近似线性化处理。对于近似线性化模型,设计了h∞反馈控制器。线性化过程依赖于垂直起降飞行器状态空间模型的雅可比矩阵的计算。该控制方法解决了无人机在模型不确定性和外部扰动下的非线性多变量动力学最优控制问题。对于控制器反馈增益的计算,在控制方法的每个时间步上求解一个代数Riccati方程。新的非线性最优控制方法在控制输入适度变化的情况下,实现了对垂直起降飞机所有状态变量的快速准确跟踪。通过李雅普诺夫分析证明了该控制方案的稳定性。
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引用次数: 1
Topological Similarity-Based Multi-Target Correlation Localization for Aerial-Ground Systems 基于拓扑相似度的地空系统多目标相关定位
Pub Date : 2021-09-01 DOI: 10.1142/s2737480721500163
Xudong Li, Lizhen Wu, Yifeng Niu, Shengde Jia, Bosen Lin
In this paper, an algorithm for solving the multi-target correlation and co-location problem of aerial-ground heterogeneous system is investigated. Aiming at the multi-target correlation problem, the fusion algorithm of visual axis correlation method and improved topological similarity correlation method are adopted in view of large parallax and inconsistent scale between the aerial and ground perspectives. First, the visual axis was preprocessed by the threshold method, so that the sparse targets were initially associated. Then, the improved topological similarity method was used to further associate dense targets with the relative position characteristics between targets. The shortcoming of dense target similarity with small difference was optimized by the improved topological similarity method. For the problem of co-location, combined with the multi-target correlation algorithm in this paper, the triangulation positioning model was used to complete the co-location of multiple targets. In the experimental part, simulation experiments and flight experiments were designed to verify the effectiveness of the algorithm. Experimental results show that the proposed algorithm can effectively achieve multi-target correlation positioning, and that the positioning accuracy is obviously better than other positioning methods.
本文研究了一种解决地空异构系统中多目标相关和共定位问题的算法。针对多目标相关问题,针对地空视角视差大、尺度不一致的问题,采用视轴相关法融合算法和改进的拓扑相似度相关法。首先,采用阈值法对视觉轴进行预处理,实现稀疏目标的初始关联;然后,利用改进的拓扑相似度方法进一步将密集目标与目标间的相对位置特征关联起来;采用改进的拓扑相似度方法,优化了目标相似度大、差异小的缺点。针对共定位问题,本文结合多目标相关算法,采用三角定位模型完成多目标的共定位。在实验部分,设计了仿真实验和飞行实验来验证算法的有效性。实验结果表明,该算法能有效实现多目标相关定位,定位精度明显优于其他定位方法。
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引用次数: 2
Sliding Mode Control-Based Autonomous Control of a Tri-rotor Unmanned Aerial Vehicle 基于滑模控制的三旋翼无人机自主控制
Pub Date : 2021-09-01 DOI: 10.1142/s2737480721500138
A. Raza, F. Malik, Rameez Khan, N. Mazhar, Hameed Ullah, Nigar Ahmed
A nonlinear control technique for autonomous control of a tri-rotor unmanned aerial vehicle is presented in this paper. First, a comprehensive mathematical model is developed using the Newton–Euler approach for a tri-rotor, which is found to be highly nonlinear and coupled. Then, the equivalent input affine model is extracted by applying a suitable transformation. Finally, the sliding mode control for trajectory tracking is chosen which is immune to matched external disturbances, parametric uncertainties, and modeling errors. The proposed controller performance has been verified for appropriate inputs under wind disturbances using MATLAB, and the simulation results are presented.
提出了一种用于三旋翼无人机自主控制的非线性控制技术。首先,利用牛顿-欧拉方法建立了高度非线性和耦合的三转子的综合数学模型。然后,通过适当的变换提取等效输入仿射模型。最后,选择不受匹配外部干扰、参数不确定性和建模误差影响的滑模控制进行轨迹跟踪。利用MATLAB对所提控制器在风扰动下适当输入的性能进行了验证,并给出了仿真结果。
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引用次数: 2
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2018 IEEE CSAA Guidance, Navigation and Control Conference (CGNCC)
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