摘要
为减小舰船直航向运动情况下风、流、摇摆等对电罗经航向造成的随机误差影响,提高舰船直航向运动时电罗经指向精度,采用高阶AR模型对其随机误差进行建模,确定模型阶数,获得了较为准确的误差模型.同时,基于建立的模型,对电罗经航向随机误差进行预测,利用前期预测值结合自抗扰控制技术对随机扰动进行抑制.通过与H∞Kalman滤波器进行对比表明,采用自抗扰控制技术与高阶AR模型结合的方法较为有效地抑制了电罗经航向随机误差过程,为减小电罗经直航向误差提供一种行之有效的方法.
In order to reduce the linear course error and enhance the heading accuracy of electric gyrocompass,modeling with higher-order AR model,the error model is obtained correctly.Based on the model,predict the course error of electric gyrocompass,achieve a better effect.Using the model with active disturbance rejection control,the random error is rejected.The result indicates that the method could reject the error of electric gyrocompass better,supply an effective method to reduce the linear course error.
出处
《船舶工程》
CSCD
北大核心
2009年第B09期105-108,共4页
Ship Engineering
关键词
电罗经
自抗扰控制
高阶AR模型
预测
electric gyrocompass
active disturbance rejection control
higher-order AR model
prediction