航空发动机智能温度传感器最优分布式决策研究

分布式控制是航空发动机控制系统发展的重要方向.对于实现同一功能的多余度智能传感器,提出了一种最优分布式决策的数据融合判决方法.以涡轮后燃气温度T4智能传感器为研究对象,进行了分布式统计判决仿真,并与最优中心决策以及最优似然比决策作了对比分析.实际仿真结果表明,中心式判决具有最好的判决性能,而在分站以及同一种压缩律下,最优分布式决策明显优于最优似然比决策.

Optimized Distributed Decision for Smart Temperature Sensors in Aeroengine

Distributed control has been an important developing direction in aeroengine control system. For multi redundant smart sensors of the same functions, this paper presents a data fusion method based on optimized distributed decision(ODD). Taking the low pressure turbine outlet temperature T4 smart sensor as the object, simulations have been done. According to the simulation results based on ODD compared with optimized central decision(OCD) and optimized likelihood ratio decision(OLRD), factual conclusions demonstrate that the best decision performance can be achieved by OCD, and ODD is superior to OLRD clearly in the same embranchment compression law.