Black box Modeling of Twin Rotor MIMO System by Using Neural Network
|International Journal of Electrical and Electronics Engineering|
|© 2021 by SSRG - IJEEE Journal|
|Volume 8 Issue 6|
|Year of Publication : 2021|
|Authors : Huong T.M. Nguyen, Mai Trung Thai|
How to Cite?
Huong T.M. Nguyen, Mai Trung Thai, "Black box Modeling of Twin Rotor MIMO System by Using Neural Network," SSRG International Journal of Electrical and Electronics Engineering, vol. 8, no. 6, pp. 15-22, 2021. Crossref, https://doi.org/10.14445/23488379/IJEEE-V8I6P103
In model predictive control, building the correct model and solving the optimal problem are two jobs that always require a lot of time and effort. These are also two issues that many scientists are interested in studying when applying model-driven reporting control to certain objects. With a TRMS object we can build a white box model, a gray box model or a black box model. Some authors have built TRMS model published in , , , . We have studied the optimal problem solving methods in model predictive control in articles , , . In , we builds a white box model of TRMS object according to Newton method. Studying the effects of the interchannel effects of the white box model TRMS. In this paper, authors bulding black box modeling of Twin Rotor MIMO System by using neural network, compare the results of the black box model with the real model in order to choose a suitable algorithm and provide the ability to apply that model in simulation and object control.
Black box model, Neural network, Yaw angle, Pitch angle, Gradient descent back-propagation.
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