基于遗传算法的涡扇发动机多变量加速寻优控制

Optimal acceleration control of turbofan engine with genetic algorithm

关键词:  涡轮风扇发动机  变几何形状结构  遗传算法+  加速寻优控制+

Key words:  Turbofan engine  Variable geometry structure  Genetic algorithm~+  Acceleration optimization control~+

摘要:

研究了变几何涡扇发动机不等式约束下的遗传算法最优加速控制规律,在全飞行包线内进行了仿真计算。通过分析多变量变几何涡扇发动机加速过程的特点和性能要求,用离散化加速模型结合遗传算法,使得加速过程最优。仿真计算表明该控制律可以保证变几何涡扇发动机在全飞行包线内稳定工作,且加速时间最短。

Abstract:

An optimal acceleration control law, verified in the whole envelope, is studied for variable geometry turbofan engine based on genetic algorithm (GA) and control design with inequality constrains is discussed in this paper. Combining discrete model with GA, the method is achieved via analysis of the characteristic and performance requirements of engine speedup process. The control scheme is stable, fast and applicable to acceleration optimization. Simulations show that this control methodology can obtain more satisfactory acceleration characteristic of the engine.