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Linear Covariance-Based Optimal Sensor Selection for GN&C System Using Second-Order Cone Programming

机译：使用二阶锥形编程的GN＆C系统的基于线性协方差的最优传感器选择

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摘要

A novel optimal sensor selection approach is developed in this paper. The key innovation of this work is in formulating the stochastic optimal sensor selection problem as a second-order convex program. The approach quickly determines the required optimal sensor specifications that meet mission navigation and trajectory dispersion requirements with the lowest sensor cost. The proposed approach combines linear covariance analysis with convex optimization to describe and solve the optimal sensor selection problem. First, the trajectory dispersion of the closed-loop guidance, navigation, and control (GN&C) system based on sensor specifications is modeled using linear covariance analysis theory. Then, the linear covariance propagation and update equations are used to formulate an optimal sensor selection problem using the Kronecker product. Second-order cone programming with successive approximation techniques are used to solve the established problem. Finally, a simple nonlinear closed-loop GN&C system is investigated, and the capabilities of the proposed approach are demonstrated. The simulations show that the optimal sensor selection problem can be described and solved efficiently using the proposed approach.
机译：本文开发了一种新颖的最佳传感器选择方法。这项工作的关键创新是将随机最佳传感器选择问题作为二阶凸面编程。该方法快速确定了满足特派团导航和轨迹分散要求的所需的最佳传感器规范，具有最低的传感器成本。该方法将线性协方差分析与凸优化结合，以描述和解决最佳传感器选择问题。首先，使用线性协方差分析理论建模基于传感器规格的闭环引导，导航和控制（GN＆C）系统的轨迹分散。然后，线性协方差传播和更新方程用于使用Kronecker产品制定最佳传感器选择问题。使用连续近似技术的二阶锥形编程用于解决已建立的问题。最后，研究了一个简单的非线性闭环GN＆C系统，并证明了所提出的方法的能力。模拟表明，可以使用所提出的方法有效地描述和解​​决最佳传感器选择问题。

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  • 来源
    《Journal of aerospace engineering》 |2019年第4期|04019024.1-04019024.9|共9页
  • 作者

    Jin Kai; Geller David; Luo Jianjun;

  • 作者单位

    Northwestern Polytech Univ Sch Astronaut Natl Key Lab Aerosp Flight Dynam Xian 710072 Shaanxi Peoples R China;

    Utah State Univ Dept Mech & Aerosp Engn Logan UT 84322 USA;

    Northwestern Polytech Univ Sch Astronaut Natl Key Lab Aerosp Flight Dynam Xian 710072 Shaanxi Peoples R China;

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