程 超,王 曦,姜 震.导叶伺服动力学系统通用建模方法[J].航空发动机,2023,49(6):91-98
导叶伺服动力学系统通用建模方法
General Modeling Method of Guide Vane Servo Dynamics System
  
DOI:
中文关键词:  建模方法  导叶伺服系统  动力学特性方程  航空发动机
英文关键词:modeling method  guide vane servo system  dynamic characteristic equations  aeroengine
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作者单位
程 超,王 曦,姜 震 北京航空航天大学 能源与动力工程学院北京 100191 
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中文摘要:
      针对现有导叶伺服系统模型跨平台联合仿真速度慢、通用性差的问题,提出了一种基于动力学特性方程的、部件通用性 强的导叶伺服系统通用建模方法。采用部件建模法从底层方程到部件级模型,再到顶层系统,形成层次化、模块化的建模架构,使 原理与工程应用有机融合;通过对导叶伺服系统各组成部件进行工作机理分析,建立导叶伺服系统的AMESIM模型,推导各组成 部件的动力学特性方程,开发Simulink部件模型库;与AMESIM模型进行对比验证,构建Simulink导叶伺服动力学系统机理模型。 结果表明:系统模型稳态误差不大于0.12%,斜坡响应跟踪误差为3.7%,对于幅值为作动筒位移5%的不同频率正弦指令信号,导 叶伺服闭环系统带宽不小于8 Hz。该导叶伺服动力学系统模型具有较好的准确性、稳定性和动态特性,是可行和有效的,具有明 显的推广应用价值和跨平台多学科联合仿真优势。
英文摘要:
      Aiming at the problems of slow speed and poor universality in cross-platform joint-simulation of existing guide vane servo system model, a general modeling method of guide vane servo system based on dynamic characteristic equations with strong component uni? versality was proposed. Using the component modeling method, from the bottom-level equations to the component-level models, and then to the top-level system, a hierarchical and modular modeling architecture was established, which organically integrates principles with engi? neering applications. By analyzing the working mechanism of each component of the guide vane servo system, an AMESIM model of the guide vane servo system was established, and the dynamic characteristic equation of each component was derived. A Simulink component model library was developed, in which the component models were verified by comparing with the AMESIM models, finally, a Simulink mechanism model of the guide vane servo system was constructed. The results show that the steady-state error is less than 0.12%, and the slope response tracking error is 3.7%. For different frequency sinusoidal command signals with an amplitude of 5% of the actuator displace? ment, the bandwidth of the guide vane servo closed-loop system is not less than 8 Hz. The guide vane servo system model has good accura? cy, stability, and dynamic characteristics, indicating that the modeling method is feasible and effective. The advantages of the method in cross-platform multi-disciplinary joint-simulation broaden its application prospects.
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