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Turbofan Engine Transient Response Predictions Using Real-Time Analytical Linear Models

机译:使用实时分析线性模型的涡扇发动机瞬态响应预测

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Analytical expressions based on the physics of the aerothermodynamics processes of a gas turbine engine facilitate a systematic approach to analysis and synthesis of model based controllers. An analytical linear model that can more accurately capture the engine dynamics during aggressive transient maneuvers has been proposed in the literature. The model is based on analytical linearization of a nonlinear model at both equilibrium and non-equilibrium conditions. Such an analytical linear model, however, still requires a complete knowledge of the current state vector for estimation of the linear model coefficients. This paper explores the potential for using linear model state estimates from the current time step in order to arrive at new linear model coefficients for the next time step. The fidelity of the linear models so obtained is evaluated by comparing transient responses with those from a nonlinear model and a detailed numerical linear model. Also, the fidelity of the analytical linear model is compared with that of piecewise linear models considered in the literature. Numerical simulations are carried out using a nonlinear separate flow twin spool turbofan engine model in the Numerical Propulsion System Simulation (NPSS) platform.
机译:基于燃气涡轮发动机的空气热力学过程的物理学分析表达式有助于系统地分析和综合基于模型的控制器。在文献中已经提出了一种分析线性模型,该模型可以更精确地捕获激进的瞬态操纵期间的发动机动力学。该模型基于在平衡和非平衡条件下非线性模型的解析线性化。但是,这种分析线性模型仍然需要对当前状态向量有完整的了解,才能估计线性模型系数。本文探讨了使用当前时间步长的线性模型状态估计值以获得下一个时间步长的新线性模型系数的潜力。通过将瞬态响应与非线性模型和详细的数字线性模型的瞬态响应进行比较,可以评估由此获得的线性模型的保真度。此外,将分析线性模型的保真度与文献中考虑的分段线性模型的保真度进行了比较。在数值推进系统仿真(NPSS)平台中,使用非线性独立流双阀芯涡扇发动机模型进行数值仿真。

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