Autonomous Aerial Refueling Modeling and Dynamic Inversion Adaptive Sliding Mode Control

Xun Sun; Xin Guo Zhang

doi:10.4028/www.scientific.net/AMR.760-762.1202

Paper Titles

Particle Swarm Optimization Solving Nonlinear Programming Problems in Power System
p.1183

Steady State Model of Cooling Tower Used in Air Conditioning
p.1187

Analysis of Network Management Technology and Development Trend in the Future
p.1192

Performance Measurement Technique of Cloud Storage System
p.1197

Autonomous Aerial Refueling Modeling and Dynamic Inversion Adaptive Sliding Mode Control
p.1202

PD Control Strategy Design and Simulation of Magnetic Bearing with Single Freedom of Degree
p.1207

Design and Implementation of Remote Control Software for Nuclear Inspecting Devices
p.1212

Modeling and Attitude Control of a Spinning Spacecraft with Internal Moving Mass
p.1216

The Planning of Maintenance Support Capabilities of the Wartime Armored Equipment Autonomic Logistic System Based on QFD
p.1221

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 760-762Autonomous Aerial Refueling Modeling and Dynamic...

Autonomous Aerial Refueling Modeling and Dynamic Inversion Adaptive Sliding Mode Control

Abstract:

A dynamic inversion adaptive sliding mode flight control method for autonomous aerial refueling (AAR) is approved in this paper. The drogue model and refueling aircraft 6-DOF nonlinear model is built. In order to improve the flight control precision and performance, the dynamic inversion control method is used to design the flight control law. Fuzzy adaptive control is combined with the sliding mode control is used to compensate the error of inversion, so the robustness and transient characteristic performance could be improved. The simulation results show that the AAR flight control has excellent control performance.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 760-762)

Pages:

1202-1206

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.760-762.1202

Citation:

Cite this paper

Online since:

September 2013

Authors:

Xun Sun, Xin Guo Zhang

Keywords:

Autonomous Aerial Refueling, Drogue Model, Dynamic Inversion, Sliding Mode Control

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Kim B S, Calise A J, Nonlinear Flight Control using Neural Networks, AIAA Journal of Guidance, Control and Dynamics(S0731-5090), 1997, 20(1): 26-33.

DOI: 10.2514/2.4029

Google Scholar

[2] Roshawn Elizabeth Bowers, Estimation Algorithm for Autonomous Aerial Refueling Using A Vision based Relative Navigation System, Texas A&M University, (2005).

Google Scholar

[3] Stepanyan Vahram, Lavretsky Eugene, Hovakimyan Naira. Aerial Refueling Autopilot Design Methodology Application to F-16 Aircraft Model, AIAA Guidance, Navigation, and Control Conference and Exhibit 16-19 August 2004, Providence, Rhode Island AIAA 2004-5321.

DOI: 10.2514/6.2004-5321

Google Scholar

[4] Joseph P Nalepka, Jacob L Hinchman, Automated Aerial Refueling Extending the Effectiveness of UAVs , AIAA -2005-6005.

DOI: 10.2514/6.2005-6005

Google Scholar

[5] Lorenzo Pollini, Mario Innocenti, Roberto Matr, Vision Algorithms for Formation Flight and Aerial Refueling with Optidal Marker Labeling , AIAA - 2005 - 60101.

DOI: 10.2514/6.2005-6010

Google Scholar

[6] Jacob Hinchman, Automated Aerial Refueling Research Summary Presentation , AFRL - VA - WP - TP - 2003 - 344.

Google Scholar

[7] Wisek B J, Stability and flying quality robustness of a dynamic inversion aircraft control law, J. of Guidance, Control and Dynamics(S0731-5090), 1996, 19(6): 1270-1278.

DOI: 10.2514/3.21782

Google Scholar

[8] Y.S. Lu, J.S. Chen, A Self-organizing Fuzzy Sliding-mode Controller Design for a Class of Nonlinear Servo Systems, IEEE Trans. On Industrial Electronics, vol. 41, no. 5, pp.492-502, (1994).

DOI: 10.1109/41.315267

Google Scholar

[9] C.M. Lin, C.H. Chen, Adaptive Recurrent Fuzzy Neural Network Control for Linearized Multivariable Systems, IEEE International Conf o Fuzzy Systems, (2004).

DOI: 10.1109/fuzzy.2004.1375485

Google Scholar

[10] Kimmett J, Valased J , Junkins J, Autonomous Aerial Refueling Utilizing A Vision Based Navigation System, AIAA - 2002- 4469.

DOI: 10.2514/6.2002-4469

Google Scholar