涡轮基组合循环发动机分布式控制系统通信网络混合拓扑结构优化方法

涡轮机组合循环(Turbine based combined cycle,TBCC)发动机控制系统通信网络拓扑结构是其分布式控制系统方案设计的重要部分,优化网络拓扑结构可提高发动机推重比和控制系统可靠性。本文基于智能优化算法提出TBCC分布式控制系统网络拓扑结构优化方法。基于图论建立TBCC几何模型和网格模型,以重量和可靠性为优化性能指标,同时考虑发动机表面高温区域以及控制节点的工作可靠性,分别采用粒子群算法和遗传算法优化星形结构中智能中央节点位置、中央节点的环形拓扑结构,获得星形-环形混合拓扑结构。仿真实例表明,基于本文方法优化所得的混合拓扑结构相较于星形集中式控制结构,系统重量降低了51.9%。

Topology Optimization of Distributed Control System Communication Network for Turbine Based Combined Cycle Engines

A distributed control system (DSC) is critical to improving the thrust-weight ratio and the reliability of turbine based combined cycle (TBCC) engines. A topology of communication network is important for distributed control system(DSC). A topology optimization for TBCC communication networks is proposed based on intelligent algorithms. The engine geometric model and grid model are formed. The optimization index is constructed by system weight and reliability, and constraint conditions are established by considering temperature limitations and reliability of smart nodes. The particle swarm algorithm and the genetic algorithm are employed to optimize positions and the ring topology of central smart nodes, respectively. Finally, a star-ring hybrid topology is obtained. The simulation results show that the new approach reduces the weight of DCS with hybrid topology by 51.9%,compared with that of the centralized control system with a star topology.