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^4fModelling the Vehicle Kinematics as Key Element for the Design of Integrated Navigation Systems

机译:^ 4FMODELLING车辆运动学作为集成导航系统设计的关键元素

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^7fEspecially represented by the very popular Kalman filter, the observer principle is a commonly used basis for integrating navigation systems. This applies both for such "simple" devices like a gyrostabilized magnetic compass and for the well known, complex combination of inertial sensors and satellite navigation receivers. The realisation of an observer is possible by using mechanical parts or an analog electrical circuit (like for the first case) as well as by means of special software implemented on microprocessors (like for the latter case). Correspondingly, one major advantage of observers is the independence from the sensor principles employed (e.g. optical gyros, micro-mechanical accelerometers, or radar units as typical elements of integrated navigation systems). Thus, it is not the technology, which determines mainly the character and the basic design of an integrated navigation system; it is rather the modelling of the kinematics for the vehicles considered. For instance, a gyrostabilized magnetic compass takes into account only the vehicle rotation about its vertical axis. Conventional dead reckoning systems assume the motion of a small, rigid body on a surface with two or three degrees of freedom. The classical combination of an inertial measurement unit and a satellite navigation receiver considers the motion of a small, rigid body with six degrees of freedom (and employs normally error states to describe the vehicle movement). Yet, there is no reason to restrict the vehicle modelling to these familiar examples. Alternative and more detailed models can lead to further improvements and new applications of integrated navigation systems. Using an observer variant with total state variables for the combination of inertial measurement units and satellite navigation receivers improves the system stability as it fulfils especially the observer principle. Additionally assuming large vehicles allows distributing several satellite navigation antennas over an extensive area and enhances considerably the system stability as well as the attitude accuracy. However, this can cause problems with structural flexibilities of the vehicle. Enlarging, on the other hand, the vehicle model by additional degrees of freedom for the distortions can not only overcome this difficulty but also enables a more complete recording of the vehicle motion. This leads to integrated navigation systems which have spatially distributed sensors and which are simultaneously beneficial to structural control as well. Likewise, the same strategy is also useful for multibody structures like robots. Based on simulated as well as on experimental data, the paper covers the following topics to illustrate the potential of vehicle modelling for improvements and new applications of integrated navigation systems: 1. observer principle and simple integrated navigation systems, 2. benefit of distributing several satellite navigation antennas over large vehicle structures, 3. design of integrated navigation systems for vehicle structures with significant flexibility and for multibody systems.
机译:^ 7,由非常受欢迎的卡尔曼滤波器代表,观察者原理是用于集成导航系统的常用基础。这适用于这种“简单”设备,如陀螺磁性罗盘以及惯性传感器和卫星导航接收器的众所周知的复杂组合。通过使用机械部件或模拟电路(类似于第一壳体)以及通过在微处理器上实现的特殊软件(类似于后一种情况),可以实现观察者的实现。相应地,观察者的一个主要优点是所采用的传感器原理的独立性(例如,光学陀螺,微机械加速度计或雷达单元作为集成导航系统的典型元件)。因此,它不是该技术,它主要决定了集成导航系统的性格和基本设计;它是考虑车辆的运动学的建模。例如,Gyrostabilized磁罗盘仅考虑了绕其垂直轴的车辆旋转。传统的死算系统假设小,刚体在具有两三个自由度的表面上的运动。惯性测量单元和卫星导航接收器的经典组合考虑了具有六个自由度的小型刚体的运动(并且采用通常误差状态来描述车辆运动)。然而,没有理由将车辆建模限制到这些熟悉的例子。替代方案和更详细的模型可能导致集成导航系统的进一步改进和新的应用。使用具有总状态变量的观察者变型,用于惯性测量单元和卫星导航接收机的组合,提高了系统稳定性,因为它尤其满足观察者原理。此外,假设大型车辆允许在广泛的区域上分配多个卫星导航天线,并提高系统稳定性以及姿态精度。然而,这可能导致车辆结构柔性的问题。另一方面,扩大车辆模型通过额外的扭曲自由度来克服这种困难,而且还可以更完整地记录车辆运动。这导致集成导航系统,其具有空间分布的传感器,并且同时对结构控制同时有益。同样地,相同的策略对于像机器人这样的多体结构也是有用的。基于模拟和实验数据,纸张介绍了以下主题,以说明车辆建模的潜力,用于改进和新的集成导航系统的新应用:1。观察者原理和简单的综合导航系统,2.分发几颗卫星的有益在大型车辆结构上导航天线,3.用于车辆结构的集成导航系统设计,具有显着的灵活性和多体系统。

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