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当飞机超低空贴地飞行、航路上多障碍物时,机载传感器容易失效。针对这一情况,本文首先论述了低空突防过程中,机载多传感器系统必须采取的有效信息融合措施;然后对容错控制问题进行了讨论,给出一个多传感器故障检测与隔离算法,使用该算法容易剔除失效的传感器,并将多传感器系统进行重构,降低了失效传感器数据对系统的污染程度;接着给出一个简单实用的分散滤波算法,该算法使得各有效传感器的数据被并行处理,且各局部处理器之间无需数据交换,需存储的数据量较少,提高了系统的实时性,最后的仿真算例说明了这一点
When the plane flies low-altitude flight, the route more obstacles, the airborne sensor failure. In view of this situation, this paper first discusses the effective information fusion measures that must be taken by airborne multisensor systems in the process of penetration at low altitude. Then, the fault tolerant control problem is discussed and a multisensor fault detection and isolation algorithm is given. The algorithm can easily eliminate the failed sensor and reconstruct the multi-sensor system, reducing the pollution degree of the failure sensor data to the system. Then a simple and practical decentralized filtering algorithm is given, which makes the data of each effective sensor processed in parallel, And no need to exchange data between the local processors, the need to store less data, improve system real-time, the final simulation shows this