Research on ANN Dynamic Inversion Control of UAV

Wei Lun Chen; Gong Cai Xin

doi:10.4028/www.scientific.net/AMR.466-467.1353

Paper Titles

Design and Implementation of a Rocket Launcher with Improved High Speed & Accuracy
p.1334

Modeling and Simulation of Brushless DC Motor Adaptive Fuzzy PID Control System for Pure Electric Vehicle
p.1339

Modeling and Simulation of Permanent Magnet Synchronous Motor for Pure Electric Vehicle Based on Space Vector Pulse Width Modulation
p.1344

Study of Precise Measurement Algorithm Based on Machine Vision
p.1349

Research on ANN Dynamic Inversion Control of UAV
p.1353

Structure Design of Piezoresistive High-g Acceleration Sensor and Finite Element Analysis
p.1358

The Control Simulation Analysis of MATLAB-Based High-Precision Numerical Control Welding Positioner
p.1363

A Hardware-in-Loop Simulation System for Crush Natural Gas Turbo Engine
p.1368

The On-Line Monitoring System of Tower Crane Load Based on FLNN
p.1373

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 466-467Research on ANN Dynamic Inversion Control of UAV

Research on ANN Dynamic Inversion Control of UAV

Abstract:

The paper proposes a method to design AANN dynamic inversion controller through online ANN compensating inversion error. It mainly aims at evident shortage of dynamic inversion controller of UAV. A single hidden layer ANN structure is constructed and the stability of the whole closed loop system is proved. Also the stable adjustment arithmetic of online ANN weight is proposed. The robustness, the adaptability to fault and the response capability to actuator delay time of the scheme are verified by simulation. It is also proved that the online ANN has improved the performance of dynamic inversion controller well. It has important reference value for designing advanced flight control systems of UAV.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 466-467)

Pages:

1353-1357

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.466-467.1353

Citation:

Cite this paper

Online since:

February 2012

Authors:

Wei Lun Chen, Gong Cai Xin

Keywords:

Dynamic Inversion Controller, Neural Network (NN), Single Hidden Layer (SHL), Stability, UnmaANNed Aerial Vehicle (UAV)

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Narendra K S, Parthasarathy K: Identification and Control of Dynamical System Using Neural Networks [J]. IEEE Transactions on Neural Networks, (1990) 1 ( 1) : 4-27.

DOI: 10.1109/72.80202

Google Scholar

[2] Kim B S, Calise A J: Nonlinear Flight Control Using Neural Networks [J]. Journal of Guidance Control and Dynamics, (1997) 20 (1): 26-33.

DOI: 10.2514/2.4029

Google Scholar

[3] Lewis F L, Yesildirek A, Kai L: Multilayer Neuralnet Robot Controller with Guaranteed Tracking Performance [J]. IEEE Transactions on Neural Networks, (1996) 7 (2): 388-399.

DOI: 10.1109/72.485674

Google Scholar

[4] Deeter DL, Smith AE: Heuristic optimization of network design considering all-terminal reliability. Proceedings of the Reliability and Maintainability Symposium, (1997) pp.194-9.

DOI: 10.1109/rams.1997.571705

Google Scholar

[5] Charalambous C: Nonlinear least pth optimization and nonlinear programming [J]. Math. Programming, (1977)12: 195- 225

DOI: 10.1007/bf01593788

Google Scholar

[6] KeNNedy M P, Chua LO: Neural networks for nonlinear p rogramm ing [J ]. IEEE T ransact ions on Circuits and System s, (1988)35 (5) : 554- 562

Google Scholar