Applications of Adaptive Neural Network Control to an Unmanned Airship

다국어 초록 (Multilingual Abstract)

This paper represents an application of a neural network-based adaptive control to the Stability and Control Augmentation System(SCAS) of an unmanned airship whose maneuvers consist of diverse flight phases at low speeds. The neural network (NN) based adaptive SCAS is based on the inversion of a linear model of the airship at a nominal operating point and the adaptation of neural networks to unmodeled dynamics, parameter variations, and uncertain environments. This paper also presents an evaluation of the adaptive SCAS with flight test results and simulation results. In this evaluation, an outer-loop control is used. The autopilot is designed using a classical PID control algorithm for trajectory line tracking and altitude hold modes. Moreover, the adaptive SCAS approach showed superiority over the classical PID design approach in terms of the gain tuning process during a flight test.

참고문헌 (Reference)

1 C. H. Hong, "The research of unmanned airship SCAS flight test Using DMI-adaptive neural network" 695-699, 2006

2 B. S. Kim, "Nonlinear flight control using neural networks" 20 (20): 1997

3 A. J. Calise, "Nonlinear adaptive flight control using neural networks" 18 (18): 14-25, 1998

4 M. Sharma, "Neural network augmentation of existing linear controllers" 2001

5 M. B. McFarland, "Multilayer neural networks and adaptive nonlinear control of agile anti-air missiles" 1997

6 S.B.V.Gomes, "An Investigation of the Flight Dynamics of Airships with Application to the YEZ- 2A" Cranfield University 1990

7 S. B. V. Gomes, "Airship dynamic modeling for autonomous operation" 1998

8 G. A. Khoury, "Airship Technology" Cambridge University Press 1999

9 F. L. Lewis, "Aircraft Control and Simulation" Wiley- Interscience 291-326, 2003

10 Sangsoo Lim, "Aircraft CAS Design with Input Saturation Using Dynamic Model Inversion" 제어·로봇·시스템학회 1 (1): 315-320, 2003