Real-Time Neural Network Based Online Identification Technique for a UAV Platform

This paper presents the results of an online identification algorithm based on Autoregressive models aided by Artificial Neural Networks for the non-linear dynamics of an unmanned aerial vehicle (UAV) platform. Numerical simulations were performed for different combinations of the network structures and the autoregressive model. The weights were trained and updated online using the Levenberg Marquardt method. The results have been validated using the real-time Hardware in the Loop simulation technique for different sets of flight data.

[1]  Lennart Ljung,et al.  System identification (2nd ed.): theory for the user , 1999 .

[2]  Claire J. Tomlin,et al.  Autopilot Design for the Stanford DragonFly UAV: Validation through Hardware-in-the-Loop Simulation* , 2001 .

[3]  Panos J. Antsaklis,et al.  Neural networks for control systems , 1990, IEEE Trans. Neural Networks.

[4]  Eric N. Johnson,et al.  FLIGHT SIMULATION FOR THE DEVELOPMENT OF AN EXPERIMENTAL UAV , 2002 .

[5]  Stéphane Lecoeuche,et al.  ONLINE IDENTIFICATION OF HEAT DISSIPATERS USING ARTIFICIAL NEURAL NETWORKS , 2000 .

[6]  Stefan Werner,et al.  Single-computer HWIL simulation facility for real-time vision systems , 1998, Defense, Security, and Sensing.

[7]  M. Viberg,et al.  Separable non-linear least-squares minimization-possible improvements for neural net fitting , 1997, Neural Networks for Signal Processing VII. Proceedings of the 1997 IEEE Signal Processing Society Workshop.

[8]  Kumpati S. Narendra,et al.  Identification and control of dynamical systems using neural networks , 1990, IEEE Trans. Neural Networks.

[9]  Kumpati S. Narendra,et al.  Identification and control , 1998 .

[10]  Jihong Zhu,et al.  System identification of a small UAV's speeding up process before take-off , 2004, 2004 5th Asian Control Conference (IEEE Cat. No.04EX904).

[11]  Murray Thomson,et al.  Practical comparison of neural networks and conventional identification methodologies , 1997 .

[12]  M. Hasan Shaheed.  Feedforward neural network based non‐linear dynamic modelling of a TRMS using RPROP algorithm , 2005 .

[13]  J. Sjöberg.  Neural networks for modelling and control of dynamic systems: M. Nørgaard, O. Ravn, N. K. Poulsen and L. K. Hansen. Springer-Verlag, London Berlin Heidelberg, 2000, pp. xiv+246 , 2004 .

[14]  R. Pintelon.  System identification , 2001 .

[15]  Lennart Ljung,et al.  System Identification: Theory for the User , 1987 .

[16]  Rahmat Shoureshi,et al.  Neural networks for system identification , 1989, IEEE Control Systems Magazine.

[17]  Li-Xin Wang.  Design and analysis of fuzzy identifiers of nonlinear dynamic systems , 1995, IEEE Trans. Autom. Control..

[18]  L. Ljung,et al.  A system identification perspective on neural nets , 1992, Neural Networks for Signal Processing II Proceedings of the 1992 IEEE Workshop.

[19]  Jacob J. Hageman,et al.  Integration of Online Parameter Identification and Neural Network for In-Flight Adaptive Control , 2003 .