Open Access
Subscription or Fee Access
NN-based System Identification and Control of RUAV
Bhaskar Prasad Rimal, Idris E. Putro, Agus Budiyono, Dugki Min, Eunmi Choi
Abstract
Artificial Neural Networks (ANNs) are widely applied nowadays for classification, identification, control, diagnostics, recognition, etc. They can be implemented for identification of dynamic systems. The concept of ANN is highly used in design and simulation of control system of Rotorcraft-based Unmanned Aerial Vehicles (RUAVs). Controller design for UAV is subject to time varying and non-linear model parameters. The objective of this paper is to simulate the non-linear identification of a dynamic system which is based on its response to standard signals. The non-linear identification is based on model reference control (MRC). For MRC, the controller is a neural network that is trained to control a plant so that it follows a reference model. The neural network plant model is used to assist in the controller training. This paper simulates the modeling capabilities of a state space neural network, to act as an observer for a non-linear process allowing a simultaneous estimation of parameters and states.
Keywords
Rotorcraft-based UAV, Hardware in the Loop, Artificial neural network, Non-linear identification, Model Reference Control
Full Text:
PDF
Disclaimer/Regarding indexing issue:
We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information. Also: DOI is paid service which provided by a third party. We never mentioned that we go for this for our any journal. However, journal have no objection if author go directly for this paid DOI service.
