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Paper   IPM / Cognitive / 8997
School of Cognitive Sciences
  Title:   Aerospace launch vehicle control: an intelligent adaptive approach
1.  A.R. Mehrabanian
2.  C. Lucas
3.  J. Roshanian
  Status:   Published
  Journal: Aerospace Science and Technology
  Vol.:  10
  Year:  2006
  Pages:   149-155
  Supported by:  IPM
A theoretical analysis of on-line autonomous intelligent adaptive tracking controller based on emotional learning model in mammalians brain (BELBIC) for aerospace launch vehicle is presented. The control algorithm is provided with some sensory inputs and reward signal, subsequently it autonomously seeks the proper control signal to be executed by actuators, thus eliminating tracking error without pre-knowledge of the plant dynamics. The algorithm is very robust and fast in adaptation with dynamical change in the plant, due to its on-line learning ability. Development and application of this algorithm for an aerospace launch vehicle during atmospheric flight in an experimental setting is presented to illustrate the performance of the control algorithm.

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