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Toward An Intelligent, Deterioration Accommodating Controller For Aging Turbofan Engines

机译:面向老化的涡扇发动机的智能变质调节控制器

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摘要

A method for accommodating engine deterioration via a scheduled linear parameter varying quadratic Lyapunov function (LPVQLF)-based controller is presented. The LPVQLF design methodology provides a means for developing unconditionally stable, robust control of linear parameter varying (LPV) systems. The controller is scheduled on the engine deterioration index, a function of estimated parameters that relate to engine health, and is computed using a multilayer feedforward neural network. Acceptable thrust response and tight control of exhaust gas temperature (EGT) is accomplished by adjusting the performance weighting on these parameters for different levels of engine degradation. Nonlinear simulations demonstrate that the controller achieves specified performance objectives while being robust to engine deterioration as well as engine-to-engine variations.
机译:提出了一种通过基于线性参数变化的二次Lyapunov函数(LPVQLF)的控制器来适应发动机劣化的方法。 LPVQLF设计方法为开发无条件稳定,鲁棒的线性参数变化(LPV)系统控制提供了一种方法。控制器根据发动机退化指数(与发动机健康相关的估计参数的函数)进行调度,并使用多层前馈神经网络进行计算。可接受的推力响应和废气温度(EGT)的严格控制是通过针对这些参数针对不同程度的发动机退化调整性能加权来实现的。非线性仿真表明,该控制器达到了指定的性能目标,同时对发动机性能恶化和发动机之间的差异具有鲁棒性。

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