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2016 IEEE Chinese Guidance, Navigation and Control Conference (CGNCC)最新文献

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Study on the implications of inter-satellite electromagnetic forces for relative translational motion 卫星间电磁力对相对平移运动的影响研究
Pub Date : 2016-08-01 DOI: 10.1109/CGNCC.2016.7829055
Wei-wei Cai, Pu Zeng, Le-ping Yang, Yanwei Zhu
As the spacecraft relative motion control actuated by inter-satellite electromagnetic forces become a key concern in the space domain, the need to analyze the specific dynamic characteristics is apparent and important for better control performance. Based on the assumption of large separation distance between spacecraft and a circular reference orbit of the formation mass center, the relative translational dynamic model is developed. Then three typical configurations of the magnetic dipoles are given, and the implications of the corresponding electromagnetic forces are analyzed, as well as the dynamic mechanisms behind. Some useful conclusions follow in the end.
随着星间电磁力驱动的航天器相对运动控制成为空间领域研究的热点,分析其具体动态特性对提高控制性能具有重要意义。基于航天器与编队质心圆形参考轨道较大分离距离的假设,建立了相对平移动力学模型。然后给出了磁偶极子的三种典型构型,并分析了相应电磁力的含义及其背后的动力学机制。最后得出了一些有用的结论。
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引用次数: 0
Adaptive nonsingular fast terminal sliding mode control for flight simulator servo system 飞行模拟器伺服系统的自适应非奇异快速终端滑模控制
Pub Date : 2016-08-01 DOI: 10.1109/CGNCC.2016.7828840
Chao Cai, Weihong Wang
As for the disadvantageous influence on the flight simulator servo system caused by external disturbance, system uncertainties and model parameters fluctuating, an adaptive nonsingular fast terminal sliding mode controller is designed, and the stability of the system is proved. The fuzzy disturbance observer is used to compensate the disturbance and uncertainties. Combining nonsingular fast terminal sliding mode control with fuzzy disturbance observer, the proposed controller also has the advantage of small tracking error and good dynamic performance. Experiment results on flight simulator are presented to demonstrate the effectiveness of the proposed algorithm. The results show that compared with fast terminal sliding mode control, the proposed control algorithm has better tracking accuracy with fast respond speed, and good low-speed and high frequency characteristics in a proper frequency range.
针对外部干扰、系统不确定性和模型参数波动对飞行模拟器伺服系统的不利影响,设计了一种自适应非奇异快速终端滑模控制器,并证明了系统的稳定性。采用模糊扰动观测器对扰动和不确定性进行补偿。该控制器将非奇异快速终端滑模控制与模糊扰动观测器相结合,具有跟踪误差小、动态性能好等优点。在飞行模拟器上的实验结果验证了该算法的有效性。结果表明,与快速终端滑模控制相比,所提出的控制算法具有更好的跟踪精度,响应速度快,在适当的频率范围内具有良好的低速和高频特性。
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引用次数: 0
A Nonlinear Impact-Time-Control Guidance law for salvo attack 齐射攻击的非线性冲击-时控制导律
Pub Date : 2016-08-01 DOI: 10.1109/CGNCC.2016.7828953
Qiuhui Yang, Shaoke Qian, Lina Geng, Zhiqiang Zheng
A novel impact-time-control guidance law based on nonlinear kinematics is presented for an interceptor against a stationary target. Exact closed form expression for the guidance command is derived by introducing an indirect variable, and the performance index of a pseudo-control energy has been minimized to increase the robustness against disturbances appeared at the terminal stage. The implementation of the guidance law involves no estimation of time-to-go procedure but provides for exact time-on-target control. The new guidance law called NITCG(Nonlinear Impact-Time-Control Guidance) can be used in salvo attack where multiple missiles are launched for a simultaneous hit on the target. Numerical simulation results are carried out to verify the performance of the guidance law for different engagement scenarios.
针对静止目标拦截器,提出了一种基于非线性运动学的冲击-时间控制制导律。通过引入间接变量,导出了制导命令的精确封闭表达式,并最小化了伪控制能量的性能指标,增加了对末端扰动的鲁棒性。该制导律的实现不涉及预估时间,但提供了精确的目标时间控制。新的制导律称为NITCG(非线性冲击-时间控制制导),可用于齐射攻击,即多枚导弹同时发射对目标进行打击。数值仿真结果验证了该制导律在不同交战场景下的性能。
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引用次数: 1
Maneuvering target interception using retrospective-cost-based adaptive input and state estimation 基于回溯成本的自适应输入和状态估计的机动目标拦截
Pub Date : 2016-08-01 DOI: 10.1109/CGNCC.2016.7828854
M. Tahir, Z. Ren
In this paper, missile guided by modified proportional navigation guidance (MPNG) law intercepts the maneuvering target using estimated target acceleration. Target acceleration is taken as an input and is estimated with retrospective cost-based-adaptive input and state estimation (RCAISE). Prior optimized input estimates are used in the adaptive input estimator, which is based on the recursive least squares, to estimate the unknown input acceleration of the maneuvering target. Kalman filter uses the estimated input acceleration of the target to estimates the states of the maneuvering target. MPNG law uses the estimated input acceleration of the target to intercept the maneuvering target. Numerical simulation results present herein, demonstrate better performance of the RCAISE as compare to other classical estimation methods.
本文采用修正比例导航制导(MPNG)律制导导弹,利用估计的目标加速度对机动目标进行拦截。以目标加速度为输入,采用基于成本的自适应输入和状态估计(RCAISE)进行估计。在基于递推最小二乘的自适应输入估计器中,采用先验优化输入估计来估计机动目标的未知输入加速度。卡尔曼滤波利用估计的目标输入加速度来估计机动目标的状态。MPNG律利用目标的估计输入加速度来拦截机动目标。数值模拟结果表明,与其他经典估计方法相比,RCAISE具有更好的性能。
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引用次数: 1
Effective Sage-Husa Kalman filter for SINS/Doppler/Platform Compass integrated navigation system SINS/Doppler/平台罗盘组合导航系统的有效Sage-Husa卡尔曼滤波
Pub Date : 2016-08-01 DOI: 10.1109/CGNCC.2016.7828843
Jianjuan Liu, Hongmei Chen, Nanbo Liu
This article aims at improving positioning precision and stability of the SINS/Doppler/Platform Compass integrated navigation system. Firstly, based on considering of the characteristic and performance of the integrated system, the system model is established. And the discrete state and measurement equations are achieved. Secondly, traditional Kalman filter for this system is usually unstable, and easy to divergent. So reasons for divergence of integrated navigation with traditional Kalman filter is analyzed. Thirdly, Sage-Husa Kalman filter based on UD decomposition is designed. And some improvements have been made according to the analysis results. Finally, several simulation experiments were made to test the effect of the improved algorithms. The simulation results indicate that improved Sage-Husa Kalman filter based on UD decomposition can guarantee the precision and stability of the SINS/Doppler/Platform Compass integrated navigation system.
本文旨在提高捷联惯导/多普勒/平台罗经组合导航系统的定位精度和稳定性。首先,在考虑集成系统的特点和性能的基础上,建立了系统模型。得到了离散状态方程和测量方程。其次,传统的卡尔曼滤波对于该系统通常是不稳定的,并且容易发散。分析了传统卡尔曼滤波组合导航发散的原因。第三,设计了基于UD分解的Sage-Husa卡尔曼滤波器。并根据分析结果对其进行了改进。最后,通过仿真实验验证了改进算法的效果。仿真结果表明,改进的基于UD分解的Sage-Husa卡尔曼滤波能够保证捷联惯导/多普勒/平台罗盘组合导航系统的精度和稳定性。
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引用次数: 5
Mission analysis of human Mars exploration based on Space Elevator 基于空间电梯的人类火星探测任务分析
Pub Date : 2016-08-01 DOI: 10.1109/CGNCC.2016.7828891
G. Zhaohui, Kewei Tong, Zhang Feng, Cai Yi
Based on the conical curve algorithm and Lambert algorithm, use assistant graph algorithm to calculate interstellar transfer orbit and understand the Earth-Mars transfer orbit mission windows. The calculated result shows that there is one launch time on the Earth-Mars transfer orbit every 2.1 years. In every 15 years, there must be a pair of launch times which are almost same. So based on the DRA5.0 nuclear energy project for Manned Space of Mars, introduce a new Mars explored mission based on the Earth Space Elevation. The result shows that the aero-craft's velocity will reduce 2.4 km/s based on the space elevation when it is launched from the earth, the freighted aero-craft's size will decrease 19% and the manned aero-craft's size will decrease 26.9%.
在圆锥曲线算法和Lambert算法的基础上,利用辅助图算法计算星际转移轨道,了解地-火星转移轨道任务窗口。计算结果表明,地球-火星转移轨道每2.1年有一次发射时间。每隔15年,肯定会有两次几乎相同的发射时间。因此,在DRA5.0载人火星核能项目的基础上,介绍了一项基于地球空间高程的新型火星探测任务。结果表明:航天器从地球发射时,按空间高程计算,速度将降低2.4 km/s,载货航天器尺寸将减小19%,载人航天器尺寸将减小26.9%。
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引用次数: 2
Methodology of multi-group particle filter for robust state estimation in nonlinear dynamic process systems 非线性动态过程系统鲁棒状态估计的多群粒子滤波方法
Pub Date : 2016-08-01 DOI: 10.1109/CGNCC.2016.7829164
Tingting Cao, Zhengjiang Zhang, Zhen Xu, Zhiliang Zhu, Zhengbing Yan, Chong-Wei Zheng
State estimation plays an important role for both process control and fault detection. In this paper, a methodology of multi-group particle filter is proposed for the uncertainty problem of state initialization in the nonlinear process systems. The measurement test criterion is introduced to indirectly identify whether the state initialization is accurate. According to the result of identification, multi-group particle filter is selected to generate the initial particles under bad state initialization, which can increase the probability of generating correct initial particles. The rectified errors of observed variables are used for the selection of the optimal particles. Finally, reliable state estimation would be derived through iterative particles. The proposed methodology of multi-group particle filter is compared with the generic particle filtering method through two examples of nonlinear dynamic systems. The results demonstrate the effectiveness and robustness of the proposed methodology.
状态估计在过程控制和故障检测中都起着重要作用。针对非线性过程系统状态初始化的不确定性问题,提出了一种多群粒子滤波方法。引入测量测试准则,间接识别状态初始化是否准确。根据识别结果,选择多组粒子滤波器生成坏状态初始化下的初始粒子,提高了生成正确初始粒子的概率。利用观测变量的修正误差来选择最优粒子。最后,通过迭代粒子得到可靠的状态估计。通过两个非线性动态系统的算例,将所提出的多群粒子滤波方法与一般粒子滤波方法进行了比较。结果证明了所提方法的有效性和鲁棒性。
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引用次数: 0
A health monitoring technology based on MSPC for civilian aircraft flap/slat control system 基于MSPC的民用飞机襟翼/板控制系统健康监测技术
Pub Date : 2016-08-01 DOI: 10.1109/CGNCC.2016.7828894
Tong Liu, Weida Wang, Xiao-Xi Wang
A Multivariate Statistical Process Control-based health monitor technology for a flap/slat control system of civilian aircraft was proposed. A diagnostic model based on Multivariate Statistical process Control (MSPC) method and its simulation results for flap/slat control system (FSCS) were presented. Then reasons for performance degradation of FSCS were analyzed. Runger U2 statistics was used as core algorithm of the monitoring technology. Two sensor measurements concluding system command current and aerodynamic load as the feature parameters of performance degradation were selected. The sensitive of the parameters to failure conditions were differentiate. The feature parameters-based system's operation normal pattern and threshold were obtained. The threshold and a difference between collected variables and normal pattern and were compared to judge the system's abnormal behavior. The experimental results demonstrate that the proposed methodology produces significant performance improvements over other algorithms.
提出了一种基于多元统计过程控制的民用飞机襟翼/板控制系统健康监测技术。提出了一种基于多元统计过程控制(MSPC)方法的皮瓣/板条控制系统(FSCS)诊断模型及其仿真结果。然后分析了FSCS性能下降的原因。采用Runger U2统计量作为监测技术的核心算法。选取了系统指令电流和气动载荷两个传感器测量值作为性能退化的特征参数。区分了各参数对失效条件的敏感性。得到了基于特征参数的系统运行模式和阈值。采集的阈值和变量与正常模式之间的差异进行比较,判断系统的异常行为。实验结果表明,与其他算法相比,该方法具有显著的性能改进。
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引用次数: 2
A static projective control method of a flying-wing UAV based on the robust and optimal theories 基于鲁棒和最优理论的飞翼无人机静态投影控制方法
Pub Date : 2016-08-01 DOI: 10.1109/CGNCC.2016.7828830
Yi Zhu, Xin Chen, Chuntao Li
According to the unusual conformation and aerodynamic characteristic of a flying-wing UAV, a static projective control system is designed based on the robust and optimal theories. Firstly the features of a flying-wing UAV are presented and a 6 DOF (degree of freedom) nonlinear model of the aircraft is given. Secondly the static projective control method is formulated in three parts: (1) modeling of an expanded robust-servo system; (2) applying the LQR (Linear Quadratic Regulator) method of optimal control to the robust-servo system; (3) using the static projective law to reconstruct the closed loop system by output feedback as a substitute for LQR state feedback. After that an example of a particular static projective controller designing is presented. In simulation, a trajectory tracking example is given by adding additional outer loop controllers outside the static projective controllers. The characteristics of the static projective controllers are shown by a comparison with the ordinary PID attitude autopilot. Then a satisfactory trajectory tracking result is shown which indicates the excellent transient performance and accuracy of static projective controllers of the inner loops.
针对飞翼无人机不同寻常的外形和气动特性,基于鲁棒优化理论设计了一种静态投影控制系统。首先介绍了一种飞翼无人机的特点,建立了该无人机的六自由度非线性模型。其次,将静态投影控制方法分为三部分进行阐述:(1)扩展鲁棒伺服系统的建模;(2)将LQR (Linear Quadratic Regulator)最优控制方法应用于鲁棒伺服系统;(3)利用静态投影律,用输出反馈代替LQR状态反馈重构闭环系统。然后给出了一个特定静态投影控制器的设计实例。在仿真中,通过在静态投影控制器外附加外环控制器,给出了一个轨迹跟踪实例。通过与普通PID姿态自动驾驶仪的比较,说明了静态投影控制器的特点。最后给出了令人满意的轨迹跟踪结果,表明所设计的内环静态投影控制器具有良好的瞬态性能和精度。
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引用次数: 2
A pose estimation method of a moving target based on off-board monocular vision 一种基于船外单目视觉的运动目标姿态估计方法
Pub Date : 2016-08-01 DOI: 10.1109/CGNCC.2016.7829112
Fu Jia-Ning, Fu Qiang, Usman Arif, Q. Quan
Pose estimation plays a vital role in landing guidance of quadcopter unmanned aerial vehicles. In this paper, a continuous-time optimization method is proposed to estimate the pose of a moving object only using an off-board camera. The optimization time that can vary depending upon the desired accuracy and computational speed, and it is finally transferred into solving an ordinary differential equation. Based on the proposed method, a pose estimation system with a camera and a pan-tilt unit is established. The system accuracy and algorithm correctness are tested in an experiment with a moving board as the target. Experimental results indicate that the proposed method can track a moving target and estimate its position and attitude in real time. Therefore, it will be promising to use this method in landing guidance of quadcopter unmanned aerial vehicles.
姿态估计在四轴飞行器着陆制导中起着至关重要的作用。本文提出了一种连续时间优化方法,用于仅利用车载摄像机对运动目标进行姿态估计。优化时间可以根据所需的精度和计算速度而变化,并最终转化为求解常微分方程。在此基础上,建立了一个由摄像机和平移单元组成的姿态估计系统。以移动板为实验对象,对系统的精度和算法的正确性进行了验证。实验结果表明,该方法可以实时跟踪运动目标并估计其位置和姿态。因此,将该方法应用于四轴飞行器的着陆制导具有广阔的应用前景。
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引用次数: 1
期刊
2016 IEEE Chinese Guidance, Navigation and Control Conference (CGNCC)
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