基于复合模型及FSQP算法的发动机性能寻优控制试验

提出了一种在保证优化效果前提下提高发动机在线性能寻优实时性的方法,即一方面基于相似理论建立了适用于非加力状态的发动机复合稳态模型,在优化过程中替代原部件级模型以缩短优化计算时间,另一方面采用先进的可行性序列二次规划算法寻求全局最优解,以提高优化精度。最终实现了上述方案在最小油耗模式及最大推力模式下的数字仿真及半物理模拟验证,相比于传统的基于发动机部件级模型进行性能寻优控制,其优化精度相当,但优化实时性得到大幅度提高,从仿真结果可以看出上述方案的有效性及可行性。

Experimental Verification of Aero-Engine Performance Seeking Control Based on the Hybrid Model and FSQP Algorithm

The application of an onboard hybrid steady-state model and feasible sequential quadratic programming(FSQP) algorithm to aero-engine performance seeking control(PSC) was studied.On the one hand,the hybrid model was established to perform PSC instead of the component-level engine model,which was favorable for the reduction of time cost during optimization process.On the other hand,FSQP algorithm was used to find the global optimal solution in PSC,which could enhance optimization precision.Finally,through both digital simulation and semi-physical simulation,the minimum fuel-consumption mode and the maximum thrust mode were testified.The simulation results prove that the proposed method takes the real-time advantage with the acceptable optimization effectiveness in PSC.