基于EKF的超流体陀螺噪声抑制方法

发布时间：2018-02-11 04:44

本文关键词： 超流体陀螺仪扩展卡尔曼滤波噪声抑制　出处：《控制与决策》2017年09期 　论文类型：期刊论文

【摘要】：超流体陀螺是基于物质波萨格纳克效应的干涉式陀螺仪,存在输出噪声较大致使其高测量精度的潜力不能发挥等问题.为此,基于超流体陀螺的工作机理,推导其状态方程和测量方程,构建其运动模型.对测量方程在工作点处进行泰勒级数展开,将其线性化,提出超流体陀螺的扩展卡尔曼滤波(EKF)算法,从信号处理角度抑制该陀螺噪声.仿真结果表明,基于该方法得到的角速度测量值误差有了较大改善,超流体陀螺的测量精度有了显著提高.
[Abstract]:Superfluid gyroscope is an interferometric gyroscope based on matter Posagnak effect, which has the potential of high measurement accuracy due to its high output noise. Therefore, based on the working mechanism of superfluid gyroscope, The equation of state and the measurement equation are derived, and its motion model is constructed. The extended Kalman filter (EKF) algorithm for superfluid gyroscope is proposed by using Taylor series expansion at the working point and linearization of the measurement equation. The simulation results show that the error of angular velocity measurement based on this method has been greatly improved and the measurement accuracy of superfluid gyroscope has been greatly improved.
【作者单位】：安徽师范大学物理与电子信息学院;东南大学仪器科学与工程学院;南京航空航天大学导航研究中心;
【基金】：国家自然科学基金项目(61074162) 高等学校省级自然科学研究项目(sjky2015015,KJ2016A698) 安徽师范大学博士科研启动基金项目(2014bsqdjj37);安徽师范大学校创新基金项目(2015exjj14)
【分类号】：TN96

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