摘要
针对涡扇发动机加速过程控制寻优难的问题,提出了一种混沌多元宇宙优化算法。在多元宇宙优化算法的基础上加入混沌初始化和混沌搜索,增强了全局搜索能力。采用算法进行涡扇发动机加速过程优化控制仿真,并与可行序列二次规划算法、粒子群算法和多元宇宙优化算法进行对比验证。结果表明:算法能够实现加速过程的优化控制,发动机紧贴喘振边界加速,且满足各个约束条件。对燃油流量、喷口面积、风扇和压气机导叶角度四控制量同时进行优化时,其加速时间为3.8 s,优于其他三种算法。验证了算法具有较强的全局搜索能力,在涡扇发动机加速过程优化控制问题中具有一定的优势。
As the optimization control of turbofan engine acceleration process is difficult,a chaotic multi verse optimizer(CMVO)algorithm is proposed.The chaotic initialization and chaotic search are added to the multi verse optimizer(MVO)algorithm to enhance the global search ability.Compared with the feasible sequence quadratic programming(FSQP)algorithm,particle swarm optimization(PSO)algorithm and MVO algorithm,the acceleration process optimization control simulations were carried out based on CMVO algorithm.The results show that CMVO algorithm can realize the optimization control of the acceleration process.The engine accelerates close to the surge boundary and meets various constraints.The acceleration time is 3.8 seconds when optimizing the four control variables of fuel flow,nozzle throat area,fan and compressor guide vane angle,which is better than the other three algorithms.Comparative results show that the algorithm has strong global search ability and has obvious advantages in the acceleration process optimization control of turbofan engine.
作者
赵姝帆
龚诚
蒋筑宇
ZHAO Shu-fan;GONG Cheng;JIANG Zhu-yu(Aerospace Technology Research Institute,China Aerodynamic Research and Development Center,Mianyang 621000,China)
出处
《航空计算技术》
2023年第2期25-29,共5页
Aeronautical Computing Technique
关键词
涡扇发动机
加速优化
多元宇宙优化
混沌
全局最优解
turbofan engine
acceleration optimization
multi verse optimizer
chaos
global optima solution
作者简介
赵姝帆(1991-),男,四川绵阳人,助理研究员,博士。
