摘要
Kalman滤波需要给出系统精确的状态模型和噪声统计性能,而在实际应用中却难以满足,故利用Kalman滤波可能得不到系统最优估计,甚至发散。文中给出了在巡航导弹GPS/INS组合制导应用中对模型及噪声容错性能更强的H∞鲁棒滤波,仿真结果表明,即使对简化的组合制导模型和噪声,利用H∞滤波仍可得到良好的估计结果。
The real system dynamic model and accurately statistical characteristics of noises were required by Kalman filter. but that was very difficult in practical engineering. So to get optimum estimates using Kalman filter was often hard and even the filter may be diverged at last. H∞ filter with higher robustness and fault tolerant performance for GPS/INS cascaded integrated navigation system is put forward in the paper. The simulation shows that H∞ filter is more effective than standard Kalman filter in stability and fault-tolerant capability.
出处
《弹箭与制导学报》
CSCD
北大核心
2007年第4期50-51,70,共3页
Journal of Projectiles,Rockets,Missiles and Guidance
