Adaptive nonlinear controller synthesis and flight test evaluation on an unmanned helicopter
- 20 January 2003
- proceedings article
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 1, 137-142
- https://doi.org/10.1109/cca.1999.806163
Abstract
Numerous simulation studies have recently revealed the potential benefits of a neural network-based approach to direct adaptive control in the design of flight control systems. Foremost among the potential benefits is greatly reduced dependence on high-fidelity modeling of system dynamics. However, the methodology has only recently been proven practical by demonstration in an actual flight system. This paper begins with an overview of the design of a nonlinear adaptive control system for flight test on an unmanned helicopter test bed. Next, the design of an outer loop trajectory tracking controller as well as simulation results are presented. The paper concludes with the presentation of preliminary flight test results of the rate command system that document the actual performance of the control system in flight.Keywords
This publication has 3 references indexed in Scilit:
- Nonlinear adaptive flight control using neural networksIEEE Control Systems, 1998
- Multilayer neural networks and adaptive nonlinear control of agile anti-air missilesPublished by American Institute of Aeronautics and Astronautics (AIAA) ,1997
- Synthesis of a helicopter nonlinear flight controller using approximate model inversionMathematical and Computer Modelling, 1993