Methods of Constructing the Neural Network Models of Regulators for Controlling a Dynamic Object with Smooth Monotonous Behavior
- 作者: Emaletdinova L.1, Kabirova A.1
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隶属关系:
- Tupolev Kazan National Research Technical University
- 期: 卷 62, 编号 2 (2019)
- 页面: 213-221
- 栏目: Flight Dynamics and Control of Flight Vehicles
- URL: https://journals.rcsi.science/1068-7998/article/view/230922
- DOI: https://doi.org/10.3103/S1068799819020065
- ID: 230922
如何引用文章
详细
The paper describes the methods of forming the training samples and constructing the neural network models of regulators by increasing the number of layers and neurons in the case of one-channel and two-channel control of a dynamic object with smooth monotonous behavior. The paper presents results of constructing the neural network model of a regulator for controlling the roll motion of an unmanned aerial vehicle with an autonomous roll channel. We consider an example of constructing the neural network models of regulators for two-channel control of lateral motion for unmanned aerial vehicles with a simplified model.
作者简介
L. Emaletdinova
Tupolev Kazan National Research Technical University
Email: kabirovaaigul@mail.ru
俄罗斯联邦, ul. Karla Marksa 10, Kazan, Tatarstan, 420111
A. Kabirova
Tupolev Kazan National Research Technical University
编辑信件的主要联系方式.
Email: kabirovaaigul@mail.ru
俄罗斯联邦, ul. Karla Marksa 10, Kazan, Tatarstan, 420111