The paper contributes towards the modeling, identification, and control of model jet engines. We propose a nonlinear, second order model in order to capture the model jet engines governing dynamics. The model structure is identified by applying sparse identification of nonlinear dynamics, and then the parameters of the model are found via gray-box identification procedures. Once the model has been identified, we approached the control of the model jet engine by designing two control laws. The first one is based on the classical Feedback Linearization technique while the second one on the Sliding Mode control. The overall methodology has been verified by modeling, identifying and controlling two model jet engines, i.e. P100-RX and P220-RXi developed by JetCat, which provide a maximum thrust of 100 N and 220 N, respectively.

中文翻译：

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喷气动力机器人模型喷气发动机的建模、识别和控制

该论文对模型喷气发动机的建模、识别和控制做出了贡献。我们提出了一个非线性二阶模型，以捕捉控制动力学的模型喷气发动机。通过应用非线性动力学的稀疏识别来识别模型结构，然后通过灰盒识别程序找到模型的参数。一旦确定了模型，我们就通过设计两个控制法则来控制模型喷气发动机。第一个基于经典的反馈线性化技术，而第二个基于滑动模式控制。通过对JetCat 开发的P100-RX 和P220-RXi 两个模型喷气发动机进行建模、识别和控制，验证了整体方法，它们分别提供了100 N 和220 N 的最大推力。