航空发动机分布式控制拓扑结构优化方法

以控制系统的质量和可靠性为目标,采用基于遗传算法的改进NSGA(non-dominated sorting genetic algorthm)-Ⅱ对航空发动机分布式控制系统的网络拓扑结构进行优化设计.针对可靠性评估方法存在的不足,提出一种用于评估一般网络结构可靠性的方法.结果表明:随着加入的环形节点的增加或基本回路数目增加,系统的质量和可靠性都逐渐增大,但当基本回路数目大于2时,系统的质量会快速增加而可靠性则没有明显变化.因此,在系统质量和可靠性的综合影响下,航空发动机网络拓扑结构中的基本回路数应尽可能不大于2. 

Aero-engine distributed control system topology optimization method

Improved NSGA (non-dominated sorting genetic algorthm) -Ⅱ was used to optimize the network topology of aero-engine distributed control system while setting the reliability and weight of the control system as subjects. Taking the former reliability evaluation method's shortcoming into consideration, a method was proposed. Results show that reliability and weight of the control system increase with the increasing of nodes added into the circle topology or the increase of fundamental cycle's number. But when the number of fundamental cycle is larger than two, weight increases quickly without obvious increase of control system reliability. So, the number of fundamental cycles in aero-engine distributed control system topology shouldn't be larger than two in order to keep a balance between the topology's weight and the reliability.