摘要
H∞滤波通常应用于系统模型和噪声特性不确定的环境,存在滤波精度不高的缺点.通过对H∞滤波引入闭环修正,在不影响滤波鲁棒性的前提下,有效地提高了系统精度.无源北斗/SINS组合导航系统的动态跑车实验结果表明,闭环H∞滤波下的组合导航精度优于相同滤波误差模型下的闭环Kalman滤波,并且具有参数设置简单、滤波稳定性强的优点.
H∞ filtering usually is used in the special environment of the uncertain system model and noise character, and its low precision confines its application field. By applying new H∞ filtering with closed-cycle correction, the filtering precision is increased and the inherent robustness is kept. The trial run experiment of passive BD/SINS integrated navigation system shows that the precision of this closed-cycle H∞ filtering is higher than that of Kalman filtering with the same error model. Moreover, this new filtering has fewer parameters and more powerful robustness.
出处
《控制与决策》
EI
CSCD
北大核心
2007年第5期566-568,共3页
Control and Decision
基金
国家自然科学基金项目(60472125)
