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Nonlinear Observer for Tightly Coupled Integration of Pseudorange and Inertial Measurements

机译:伪距和惯性测量紧密耦合积分的非线性观测器

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A global nonlinear algebraic transform of nonlinear pseudorange measurement equations enables navigation solutions based on a globally valid linear time-varying measurement model. Using an interconnection of a nonlinear attitude observer and a translational motion observer based on pseudorange and range-range measurements, a tightly coupled integrated aided inertial navigation system is designed. The attitude observer uses a proper acceleration estimate from the translational motion observer as a reference vector for the accelerometer measurement. This leads to a feedback interconnection that is shown to be globally exponentially stable under some conditions on the tuning parameters. The model transformation has eliminated the information about a certain nonlinear relationship that exists among the measurements. While this enables the global solution to be found, it also leads to loss of estimation accuracy when there is measurement noise. In order to recover close-to-optimal (minimum variance) estimates, the observer estimates are only used to generate a locally linearized time-varying model that is subsequently employed by a Kalman filter, without loss of global convergence.
机译:非线性伪距测量方程的全局非线性代数变换使基于全局有效线性时变测量模型的导航解决方案成为可能。使用基于伪距和距离范围测量值的非线性姿态观测器和平移运动观测器的互连,设计了紧密耦合的集成辅助惯性导航系统。姿态观测器将来自平移运动观测器的适当加速度估计值用作加速度计测量的参考向量。这导致反馈互连在某些情况下在调整参数上显示为全局指数稳定。模型转换消除了有关测量之间存在的某种非线性关系的信息。尽管这可以找到全局解决方案,但当存在测量噪声时,也会导致估计精度的损失。为了恢复接近最佳(最小方差)的估计,观察者估计仅用于生成局部线性化的时变模型,该模型随后由卡尔曼滤波器使用,而不会损失全局收敛性。

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