Adaptive longitudinal control of aircraft using synthetic jets

Muse J. A., Kutay A. T., Calise A. J.

AIAA Guidance, Navigation, and Control Conference 2007, Hilton Head, SC, United States Of America, 20 - 23 August 2007, vol.3, pp.2594-2615 identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 3
  • Doi Number: 10.2514/6.2007-6598
  • City: Hilton Head, SC
  • Country: United States Of America
  • Page Numbers: pp.2594-2615
  • Middle East Technical University Affiliated: Yes


This paper presents an adaptive control approach for controlling the longitudinal dynamics of a generic lifting surface using imbedded flow control actuators. Such actuators offer a unique opportunity for rapid maneuvering and gust rejection with low power consumption. The model's state is controlled over a broad range of angles of attack and model dynamic characteristics when the baseline flow is fully attached using bi-directional pitching moment that is effected by flow-controlled trapped vorticity concentrations on the pressure and suction surfaces near the trailing edge of the lifting surface. The proposed adaptive non-model based control approach is motivated by the difficulty in constructing a reasonably accurate physical model of active flow control actuators. In addition, during dynamic maneuvers, possible interactions between unsteady fluid dynamics and vehicle dynamics introduce additional uncertainty. System modeling uses a neural network based architecture to capture the non-linearities of the flow actuation process. This model is employed for the simulation studies performed in this paper. The control architecture employs a neural network based adaptive element that permits adaptation to both parametric uncertainty and unmodeled dynamics. This paper represents an extension of the authors' previous efforts to control a wing in pitch using synthetic jets. In the current design, the variable dynamic properties of the model are achieved in a wind tunnel using a novel traverse based on force control. The basic force control concept is addressed and simulations for longitudinal control are provided.