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2019 26th Saint Petersburg International Conference on Integrated Navigation Systems (ICINS)最新文献

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Low-Cost MEMS-IMU/RTK Tightly Coupled Vehicle Navigation System with Robust Lane-Level Position Accuracy 具有稳健车道水平定位精度的低成本MEMS-IMU/RTK紧密耦合车辆导航系统
Sh. Zhu, S. Li, Y. Liu, Q. Fu
In order to improve the high-precision navigation and positioning capability of vehicles in harsh environments such as urban area, canyons and tunnels, where satellite signals are obstructed or even disconnected, a low-cost MEMS-IMU and RTK tightly coupled technology is used to achieve high-precision positioning of vehicles in centimeters. In this paper, the tightly coupled Kalman filter algorithm model and the kinematic constrained filtering scheme are deduced. Under the condition of short-time disconnection of satellite signals, combined with device error compensation and vehicle kinematics constraint assistance, the system can still achieve relatively high precision positioning result output.
为了提高车辆在城市、峡谷、隧道等卫星信号受阻甚至断开的恶劣环境下的高精度导航定位能力,采用低成本的MEMS-IMU与RTK紧密耦合技术,实现车辆厘米级的高精度定位。本文推导了紧耦合卡尔曼滤波算法模型和运动约束滤波方案。在卫星信号短时间断开的情况下,结合装置误差补偿和车辆运动学约束辅助,系统仍能实现较高精度的定位结果输出。
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引用次数: 1
Dynamic Output Regulator of the Angular Rate Sensor Built on the Invariant Ellipsoid Methods 基于不变椭球法的角速率传感器动态输出调节器
D. Kalikhman, E. A. Deputatova, D. S. Gnusarev, V. Nikiforov, I. Bykanov
This paper considers the possibility of improving the quality of control parameters of the sensitive element in a float type gyroscope - angular rate sensor. The electronics unit of the sensor contains a nominal regulator, synthesized using the method of targeted frequency characteristics and represents a serial connection of aperiodic and boosting links. This report also considers a dynamic output regulator based on the method of invariant ellipsoids that was synthesized for the studied angular rate sensor. The results of mathematical modeling of the response of the sensitive element to different types of external disturbances are presented for the two types of regulators. Comparison of the results shows the advantages of the dynamic regulator over the nominal one.
本文讨论了提高浮子式陀螺仪-角速率传感器中敏感元件控制参数质量的可能性。传感器的电子单元包含一个标称调节器,使用目标频率特性方法合成,并表示非周期和升压链路的串行连接。针对所研究的角速率传感器,本文还考虑了一种基于不变椭球体方法的动态输出调节器。给出了两类调节器敏感元件对不同类型外部扰动响应的数学建模结果。结果表明,动态调节器优于标称调节器。
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引用次数: 1
26th Saint Petersburg International Conference on Integrated Navigation Systems 第26届圣彼得堡综合导航系统国际会议
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引用次数: 0
The Application of Ship Motion Prediction for Ensuring the Safety of Takeoff and Landing of Carrier-Based Aircraft 舰船运动预测在保障舰载机安全起降中的应用
O. Tkachenko, S. Kovtun, Y. B. Dubov
The object of the research is the systems for ensuring the take-off and landing of ship-based aircraft: the optical landing system and the control law of this system, and the system for controlling the take-off from the ramp.
本文的研究对象是舰载飞机的起降保障系统:光学着陆系统及其控制规律,以及坡道起飞控制系统。
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引用次数: 1
Multiagent System of Mobile Robots for Robotic Football 机器人足球移动机器人多智能体系统
D. Iarosh, G. Reneva, A. Kornilova, P. Konovalov
The results of the development of a cross-platform software (framework), designed to create and test multi-agent control and navigation algorithms in a highly dynamic environment with a centralized control system based on the Robocup SSL competition, are presented. The framework supports the programming of control signal calculation algorithms using MATLAB [1] and system of technical vision which is called “SSL Vision” [2]. To support various models and types of robots, an universal network interface has been implemented. The paper provides an overview of existing solutions, describes the architecture and implementation features of the proposed framework, and gives practical examples of the system's work with multi-agent navigation and control.
介绍了一个跨平台软件(框架)的开发结果,该软件(框架)旨在基于Robocup SSL比赛的集中控制系统在高动态环境中创建和测试多智能体控制和导航算法。该框架支持使用MATLAB编程控制信号计算算法[1]和称为“SSL vision”的技术视觉系统[2]。为了支持各种型号和类型的机器人,实现了一个通用的网络接口。本文概述了现有的解决方案,描述了所提出的框架的体系结构和实现特点,并给出了系统在多智能体导航和控制下工作的实例。
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引用次数: 0
New-Generation Small-Size Solid-State Wave Gyroscope for Strapdown Inertial Navigation Systems of Unmanned Aerial Vehicle 用于无人机捷联惯导系统的新一代小尺寸固态波陀螺仪
V. Zhuravlev, S. E. Perelvaev, B. P. Bodunov, S. B. Bodunov
The tasks set for unmanned aerial vehicles (UAV) can only be solved provided that the latter are equipped with modern airborne navigation and control systems. Nowadays orientation, navigation and control systems for multipurpose pilotless aircraft are based on small-size dynamically-tuned gyros (DTG), ring laser gyros (RLG), fiber optic gyros (FOG) as well as modern microelectromechanical gyros (MEMS gyroscopes). The flight test results have clearly shown that it is impossible to create modern commercial UAV systems capable of providing effective and reliable online monitoring in all-weather conditions without an onboard control complex with an accurate high-precision strapdown inertial navigation system (SINS).
为无人飞行器(UAV)设定的任务只有在后者配备现代机载导航和控制系统的情况下才能解决。目前,多用途无人机的定位、导航和控制系统主要基于小尺寸动态调谐陀螺(DTG)、环形激光陀螺(RLG)、光纤陀螺(FOG)以及现代微机电陀螺(MEMS)。飞行试验结果清楚地表明,如果没有机载控制系统和精确的高精度捷联惯性导航系统(SINS),不可能创建能够在全天候条件下提供有效和可靠在线监测的现代商用无人机系统。
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引用次数: 3
Improving the Accuracy of Supporting Mobile Objects with the Use of the Algorithm of Complex Processing of Signals with a Monocular Camera and LiDAR 利用单目相机和激光雷达信号复杂处理算法提高支撑移动目标的精度
R. Bikmaev, M.D. Zolotov, A. Popov, R. N. Sadekov
This work presents a mobile spatial tracking system which uses two measuring instruments: a monocamera and a lidar. The algorithm for integrated processing of navigation information using the Kalman nonlinear filtering implemented in this system improves the accuracy of spatial coordinates of a moving object in spatial tracking systems used in robotics, unmanned vehicles and measurement systems. The algorithm was evaluated in the results of a full-scale experiment and showed a root-mean-square error of x=0.0017 m and y= 0,0064 m.
这项工作提出了一个移动空间跟踪系统,它使用两种测量仪器:单相机和激光雷达。该系统实现了利用卡尔曼非线性滤波对导航信息进行综合处理的算法,提高了机器人、无人驾驶车辆和测量系统中空间跟踪系统中运动目标空间坐标的精度。该算法在全面实验结果中进行了评估,结果显示均方根误差为x=0.0017 m, y= 0.0064 m。
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引用次数: 2
Next-Generation Inertial Navigation Computation Based on Functional Iteration 基于函数迭代的下一代惯性导航计算
Yuanxin Wu
Inertial navigation computation is to acquire the attitude, velocity and position information of a moving body by integrating inertial measurements from gyroscopes and accelerometers. Over half a century has witnessed great efforts in coping with the motion non-commutativity errors to accurately compute the navigation information as far as possible, so as not to comprise the quality measurements of inertial sensors. Highly dynamic applications and the forthcoming cold-atom precision inertial navigation systems demand for even more accurate inertial navigation computation. The paper gives birth to an ultimate inertial navigation algorithm to fulfill that demand, named the iNavFIter, which is based on a brand new framework of functional iterative integration and Chebyshev polynomials. Remarkably, the proposed iNavFIter reduces the non-commutativity errors to almost machine precision, namely, the coning/sculling/scrolling errors that have perplexed the navigation community for long. Numerical results are provided to demonstrate its accuracy superiority over the-state-of-the-art inertial navigation algorithms at affordable computation cost.
惯性导航计算是将陀螺仪和加速度计的惯性测量值综合起来,获取运动物体的姿态、速度和位置信息。半个多世纪以来,人们一直在努力解决运动非交换性误差,以尽可能准确地计算导航信息,从而不影响惯性传感器的质量测量。高动态应用和即将到来的冷原子精密惯性导航系统需要更精确的惯性导航计算。为了满足这一需求,本文提出了一种基于全新泛函迭代积分和切比雪夫多项式框架的终极惯性导航算法iNavFIter。值得注意的是,所提出的inavfilter将非交换性误差降低到几乎机器精度,即长期困扰导航界的圆锥/划水/滚动误差。数值结果表明,该方法在计算成本低廉的情况下,在精度上优于当前的惯性导航算法。
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引用次数: 8
Phase Method for Measuring the output Signal of a Single-Mass MEMS Gyroscope as a Possibility of Improving its Performance 采用相位法测量单质量MEMS陀螺仪输出信号,提高其性能
A. Kovalev
A method is proposed for determining the angular rate in a micromechanical gyroscope based on separation of the signal phase rather than extraction of the envelope of secondary oscillations of the inertial mass. The theoretical and experimental tests have shown the possibility of using this method to measure the angular rate in principle. The proposed phase method has some advantages over the commonly used amplitude method.
提出了一种基于信号相位分离而不是提取惯性质量二次振荡包络线的微机械陀螺仪角速度确定方法。理论和实验结果表明,该方法在原理上是可行的。与常用的振幅法相比,所提出的相位法具有一些优点。
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引用次数: 1
Engineering and Operational Aspects of Miniature Marine Integrated Navigation and Stabilization System on Fiber-Optic Gyroscopes “KAMA-NS-V” 基于“KAMA-NS-V”光纤陀螺仪的微型船舶综合导航稳定系统的工程与操作
A.V. Soubbotin, V.S. Yermakov, M.B. Mafter
Design features, operational aspects and main functions of the Miniature Marine Integrated Navigation and Stabilization System (MMINSS) “Kama-NS-V” based on a strapdown sensor unit of fiber-optic gyroscopes are viewed in this paper. Main operational modes are described. Grounds are given for the field testing procedure. Its advantage lies in the possibility of autonomous check of all input parameters in arbitrary motion. The results of trials in observational and autonomous modes including start-ups at latitudes higher than 70°N in rough sea and arbitrary motion conditions are presented. Comparative analysis of navigational and dynamic parameters accuracy relative to the gimballed INS currently used in the navy is provided.
介绍了基于光纤陀螺仪捷联传感器单元的微型船舶综合导航稳定系统(MMINSS)“Kama-NS-V”的设计特点、工作特点和主要功能。介绍了主要的工作模式。给出了现场测试程序的依据。它的优点在于可以对任意运动的所有输入参数进行自主校验。本文介绍了在70°N以上纬度和任意运动条件下的观测和自主模式下的试验结果。对比分析了目前海军使用的万向节惯性导航系统的导航参数和动力参数的精度。
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引用次数: 0
期刊
2019 26th Saint Petersburg International Conference on Integrated Navigation Systems (ICINS)
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