Modeling, Identification and Control of Model Jet Engines for Jet Powered Robotics
Modeling, Identification and Control of Model Jet Engines for Jet Powered Robotics
复制标题
喷气动力机器人模型喷气发动机的建模、识别和控制
DOI：
10.1109/lra.2020.2970572
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发表时间：
2019
影响因子：
5.2
通讯作者：
D. Pucci
中科院分区：
文献类型：
--
作者：
Giuseppe L’Erario;Luca Fiorio;Gabriele Nava;Fabio Bergonti;Hosameldin Awadalla Omer Mohamed;Silvio Traversaro;D. Pucci
该论文有助于模型喷气发动机的建模、识别和控制。我们提出了一个非线性二阶模型，以捕获控制动力学的喷气发动机模型。通过应用非线性动力学的稀疏辨识来辨识模型结构，然后通过灰盒辨识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律来实现模型喷气发动机的控制。第一个基于经典的反馈线性化技术，而第二个基于滑模控制方法。整体方法已通过建模、识别和控制两种模型喷气发动机（即 JetCat 开发的 P100-RX 和 P220-RXi）进行了验证，这两种发动机的最大推力分别为 100 N 和 220 N。
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 is based on the classical Feedback Linearization technique, while the second one on the Sliding Mode control method. 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.
DOI：
10.1073/pnas.1517384113
发表时间：
2016-04-12
影响因子：
11.1
作者：
Brunton, Steven L.;Proctor, Joshua L.;Kutz, J. Nathan
通讯作者：
Kutz, J. Nathan