Affiliation:
1. Xi’an Flight Automatic Control Research Institute
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.
Publisher
Trans Tech Publications, Ltd.
Reference10 articles.
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.
2. Roshawn Elizabeth Bowers, Estimation Algorithm for Autonomous Aerial Refueling Using A Vision based Relative Navigation System, Texas A&M University, (2005).
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.
4. Joseph P Nalepka, Jacob L Hinchman, Automated Aerial Refueling Extending the Effectiveness of UAVs , AIAA -2005-6005.
5. Lorenzo Pollini, Mario Innocenti, Roberto Matr, Vision Algorithms for Formation Flight and Aerial Refueling with Optidal Marker Labeling , AIAA - 2005 - 60101.