基于改进AFSA的桨扇发动机加速控制计划优化  

Optimization of Propfan Engine Acceleration Control Schedule Based on Improved AFSA

作　　者：邢耀仁 黄向华[1] XING Yao-ren;HUANG Xiang-hua(College of Energy and Power,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China)

机构地区：[1]南京航空航天大学能源与动力学院,南京210016

出　　处：《航空发动机》2022年第2期50-56,共7页Aeroengine

基　　金：国家自然科学基金(51576097)资助。

摘　　要：为了提升桨扇发动机的过渡态性能,提出了一种可以满足发动机性能参数约束和寻优结果正确性要求的桨扇发动机加减速控制计划优化方法。引入自适应调整策略和半可行域对人工鱼群算法(AFSA)进行改进,经过数值验证,改进后的算法较原始算法具有更快的收敛速度和更高的寻优精度。将推力与目标推力间的差值作为寻优目标,采用改进后的人工鱼群算法和序列二次规划算法(SQP)对桨扇发动机的加速过程进行优化,得到了满足约束前提下的桨扇发动机时间最短的加速控制计划,结果表明:与采用传统的基于梯度的序列二次规划算法相比,采用改进的人工鱼群算法进行离线分段寻优所得到的控制计划总加速时间缩短了21.8%(0.58 s),证明了改进人工鱼群算法具有更强的全局寻优能力,更适用于桨扇发动机加速控制计划的优化。In order to improve the transient performance of propfan engine,an optimization method of acceleration and deceleration control schedule of propfan engine was proposed,which could meet the constraints of engine performance parameters and the correctness of optimization results. The Artificial Fish Swarm Algorithm(AFSA) was improved by introducing adaptive adjustment strategy and semi feasible region. Through numerical verification,the improved algorithm had faster convergence speed and higher optimization accuracy than the original algorithm. Taking the difference between thrust and target thrust as the optimization target,the acceleration process of propfan engine was optimized by using the improved AFSA and Sequential Quadratic Programming(SQP),and the acceleration control schedule with the shortest time under the constraint was obtained. The results show that the total acceleration time of the control schedule obtained by using the improved AFSA for offline segmentation optimization is 21.8%(0.58 s) shorter than that of the traditional gradient based sequential quadratic programming algorithm. It is proved that the improved AFSA has stronger global optimization ability and is more suitable for the optimization of propfan engine acceleration control schedule.

关 键 词：加速控制计划 人工鱼群算法 离线分段寻优 自适应调整策略 半可行域 桨扇发动机 

分 类 号：V235.12[航空宇航科学与技术—航空宇航推进理论与工程]