摘要
为了提高处于导弹高过载、强冲击、大振动复合动态环境中捷联惯组的输出精度,设计了级联型二阶自适应陷波滤波器来估计导弹的弹性振动频率。该滤波器采用带有遗忘因子的递推最小二乘法实时优化每个陷波滤波器的参数,具有计算复杂度低,收敛速度快等特点。仿真和实验结果表明,此方法对于处在复合动态环境中导弹振动信号的频率估计效果较好,且具有较好的抗噪声干扰能力,适合弹上计算机进行实时计算。
To improve the output accuracy of inertial measurement unit working in the complex dynamic environment of missiles which is of high acceleration,strong impact and severe vibration,a cascade of second-order adaptive notch filters was designed to estimate the elastic vibration frequency of missiles.The recursive least square method was adopted in the filters and a forgetting factor was introduced to optimize the real-time parameters of each notch filter.The filters possess the characteristics of low computational complexity and fast convergence speed.The results of simulation and experiment show that the method has a good frequency estimation effect on the vibration signals processing of missiles in complex dynamic environment.It has a strong anti-noise ability,and is suitable for the real-time calculation of missile computers.
出处
《振动与冲击》
EI
CSCD
北大核心
2017年第10期212-216,共5页
Journal of Vibration and Shock
基金
高校博士点基金博导类:复杂多体系统变参数自适应控制方法(20133219110037)
关键词
自适应陷波滤波器
频率估计
递推最小二乘法
adaptive notch filter
frequency estimation
recursive least square method