航空发动机性能寻优控制混合优化算法

Research of Hybrid Optimization Method for Aeroengine Performance Seeking Control

根据性能寻优控制(Perform ance Seek ing Con trol)优化模式的特点,针对某型涡扇发动机,研究了把发动机性能优化问题描述为线性规划问题。同时针对线性规划方法可能会收敛于局部极小值和非线性方法计算量大的问题,提出了基于LP(L inear P rogramm ing)和MAPS(M odel-A ssisted Pattern Search)混合优化方法,并研究了LP和MAPS混合优化方法在航空发动机性能寻优控制中的应用,同时在最大推力控制模式和最小油耗控制模式下进行了仿真。大量仿真结果表明,采用混合优化方法可进一步提高发动机的性能,并且大大减少了计算量。

According to the optimization control modes of aeroengine Performance Seeking Control （PSC）,the aeroengine performance optimization problems which were described as a linear programming problem were studied. In respect that the linear programming may converge to a local minimum and nonlinear method is much more time comsuming,a hybrid algorithm based on Linear Programming （LP） and Model-Assisted Pattern Search （MAPS） was proposed in this paper. The hybrid optimization method was used for aeroengine control. Digital simulations were conducted at maximum thrust mode and minimum fuel consumption mode. Simulation results demonstrate that the engine performance can be improved further and calculation time can be reduced by using hybrid algorithm.