文章摘要
滕怀亮,李本威,钱仁军,董庆.基于混合算法的涡轴发动机稳态性能仿真模型[J].,2019,34(4):363-370
基于混合算法的涡轴发动机稳态性能仿真模型
Steady-State Performance Simulation Model of the Turboshaft Engine Based on Hybrid Algorithm
  
DOI:10.7682/j.issn.1673-1522.2019.04.005
中文关键词: 涡轴发动机  稳态性能仿真模型  混合算法  天牛须算法  N +1点残量法
英文关键词: turboshaft engine  steady-state performance simulation model  hybrid algorithm  beetle antennae search algo? rithm  N +1 point residual method
基金项目:
作者单位
滕怀亮 海军航空大学,山东烟台 264001 
李本威 海军航空大学,山东烟台 264001 
钱仁军 海军航空大学,山东烟台 264001 
董庆 海军航空大学,山东烟台 264001 
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中文摘要:
      以自由涡轮式涡轴发动机为研究对象,建立了涡轴发动机的稳态性能仿真模型,提出了基于天牛须算法和 N +1点残量法的求解发动机模型的混合算法(BAS-N +1混合算法)利用发动机台架试车数据对仿真计算结果进 行了验证。结果表明,该稳态性能仿真模型各参数的求解误差在 3%,以内。与 PSO-N +1混合算法相比,BASN +1混合算法求解精度更高,收敛更快。BAS-N +1混合算法既保留了智能算法对初猜值误差的包容性,也拥有接近经典迭代算法的收敛速度和精度,能够实现涡轴发动机稳态仿真模型的高精度大范围快速收敛。
英文摘要:
      In this paper, the free-turbo turboshaft engine was taken as the research object, and the steady-state perfor?mance simulation model of the turboshaft engine was established. The hybrid algorithm (BAS-N +1 hybrid algorithm) based on the beetle antennae search algorithm and the N +1 point residual method was proposed to solve the engine mod?el. The simulation results were verified by the data on engine bench testing. The results show that the error of the parame?ters of the steady-state performance simulation model is less than 3%. Compared with the PSO-N +1 hybrid algorithm,the BAS-N +1 hybrid algorithm has higher accuracy and faster convergence. The BAS-N +1 hybrid algorithm not onlypreserves the inclusiveness of the intelligent algorithm for the initial guess error, but also has the convergence speed andprecision close to the classical iterative algorithm. It can realize the high-precision and wide-range fast convergence of thesteady-state simulation model of the turbo-axis engine.
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