Abstract
Launch vehicles in general are slender and flexible. The flexibility of the launch vehicle easily induces instability to the total launch vehicle system. There is also a high rate of change in mass and aerodynamic conditions. These conditions require an attitude controller which is robust to various system parameter changes and disturbances. In this paper, the launch vehicle's attitude controller is optimized by the coevolutionary algorithm. The attitude controller structure must be determined and the performance index is set according to the user needs. The coevolutionary algorithm can find the gains of the controller which gives the best performance. The controller is robust over a wide range of the system uncertainties. Also these uncertainties are controlled by the adaptive control using neural networks.
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