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Modelling, simulation sensitivity analysis of various types of sensor errors and its impact on Tactical Flight Vehicle navigation

机译:各种传感器错误的建模,仿真和灵敏度分析及其对战术飞行器导航的影响

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Kinematic accuracy of a Tactical Flight Vehicle (TFV) is a critical parameter required during the Target engagement trajectory. There are high accuracy sensor packages available which provides the accurate measurements; but these measurements often suffer from the inherent errors like bias, misalignment and scale factors. These errors lead to erroneous computation of navigation algorithm and hence the kinematic updates. Thus an accurate analysis of inertial sensor error growth is essential to ensure the effectiveness of the optimal synergy of seeker and inertial measurements, as success is often limited by the error handling capacity of seeker. This paper brought out sensitivity of various sensor error on kinematics update of TFV at the time of seeker handover event during Target engagement trajectory. Studies of Inertial sensors and their associated error modes have been developed resulting in the wide use of these models for TFV guidance algorithms. This model then integrated with 6-Degree of Freedom (DOF) model of flight vehicle to carry out sensitivity studies under various possible Target engagement scenarios. After validating the error model with hardware test results; an exhaustive Monte Carlo simulation studies carried out to analyze the impact of these errors in TFV trajectories. Simulation analysis showed that among all the errors, the sensor misalignment error w.r.t. seeker axis plays critical role in affecting kinematic updates and this need to be taken care while mechanical integration of INS in tactical vehicle. The purpose of studies carried out in this paper is to develop detailed error model and analysis of inertial sensor error growth to provide quantitative specifications on navigation error acceptable at the time of handing over to seeker for terminal guidance.
机译:战术飞行器(TFV)的运动精度是目标啮合轨迹过程中所需的关键参数。有可用的高精度传感器套件可提供准确的测量结果。但是这些测量通常会遭受诸如偏差,未对准和比例因子之类的固有误差。这些错误导致导航算法的错误计算,从而导致运动学更新。因此,对惯性传感器误差增长的准确分析对于确保搜寻器和惯性测量的最佳协同效果的有效性至关重要,因为成功通常受到搜寻器错误处理能力的限制。提出了目标交战过程中导引头交接事件发生时各种传感器误差对TFV运动学更新的敏感性。惯性传感器及其相关误差模式的研究已经得到发展,从而导致这些模型在TFV制导算法中的广泛使用。然后,该模型与飞行器的6自由度(DOF)模型集成在一起,以在各种可能的目标交战场景下进行敏感性研究。用硬件测试结果验证错误模型后;进行了详尽的蒙特卡洛模拟研究,以分析这些误差对TFV轨迹的影响。仿真分析表明,在所有误差中,传感器未对准误差为w.r.t.。搜寻器轴在影响运动学更新方面起着至关重要的作用,在将INS机械集成到战术车辆中时必须特别注意这一点。本文进行研究的目的是开发详细的误差模型并分析惯性传感器误差的增长,以提供在移交给搜寻器进行终端导航时可接受的导航误差的量化指标。

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