航空发动机自适应模拟退火遗传算法建模  

A Method Based on Adaptive Simulated Annealing Genetic Algorithm

作　　者：段进峰 谢寿生[1] 王立国 姚凯翔 刘蕴哲[1] 

机构地区：[1]空军工程大学航空航天工程学院 [2]解放军95507部队

出　　处：《火力与指挥控制》2016年第11期121-123,128,共4页Fire Control & Command Control

基　　金：国家自然科学基金资助项目(51476187;51506221)

摘　　要：以阶跃输入响应进行模型的检验,提出了航空发动机状态模型的建立方法:在抽功法所建立的状态空间模型的基础上,利用自适应模拟退火遗传算法对A、C矩阵元素进行寻优,解决了状态空间模型的响应与非线性模型不能够很好吻合的难题。仿真表明,得到的状态空间模型无论是动态过程还是稳态过程都能取得较高的建模精度,为航空发动机分布式控制的研究奠定了强有力的基础。The building of the state space model of aero-engine is concerned. The model of aeroengine is verified by its step response.Based on the model that is set up with the method of drawing out power,the adaptive simulated annealing genetic algorithm is used to optimize the elements of matrix A and C,solving the problem that the dynamic response of SVM can＇t be in accordance with that of nonlinear model very well. Simulation demonstrates that both dynamic progress and steady state process can achieve a higher modeling precision in this method. The proposed method can be applied to the establishment of the aero-engine state space mode,which will be helpful in the distributed control system research.

关 键 词：抽功法 分布式控制 状态模型 自适应 遗传算法 

分 类 号：V239[航空宇航科学与技术—航空宇航推进理论与工程]