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Drones 2018, 2(3), 30; https://doi.org/10.3390/drones2030030

Intelligent Control for Unmanned Aerial Systems with System Uncertainties and Disturbances Using Artificial Neural Network

Department of Electrical and Biomedical Engineering, University of Nevada, Reno, NV 89557, USA
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Received: 26 July 2018 / Revised: 20 August 2018 / Accepted: 28 August 2018 / Published: 30 August 2018
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Abstract

Stabilizing the Unmanned Aircraft Systems (UAS) under complex environment including system uncertainties, unknown noise and/or disturbance is so challenging. Therefore, this paper proposes an adaptive neural network based intelligent control method to overcome these challenges. Based on a class of artificial neural network, named Radial Basis Function (RBF) networks an adaptive neural network controller is designed. To handle the unknown dynamics and uncertainties in the system, firstly, we develop a neural network based identifier. Then, a neural network based controller is generated based on both the identified model of the system and the linear or nonlinear controller. To ensure the stability of the system during its online training phase, the linear or nonlinear controller is utilized. The learning capability of the proposed intelligent controller makes it a promising approach to take system uncertainties, noises and/or disturbances into account. The satisfactory performance of the proposed intelligent controller is validated based on the computer based simulation results of a benchmark UAS with system uncertainties and disturbances, such as wind gusts disturbance. View Full-Text
Keywords: Unmanned Aircraft Systems (UAS); artificial neural network; intelligent control; adaptive control Unmanned Aircraft Systems (UAS); artificial neural network; intelligent control; adaptive control
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Jafari, M.; Xu, H. Intelligent Control for Unmanned Aerial Systems with System Uncertainties and Disturbances Using Artificial Neural Network. Drones 2018, 2, 30.

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