Neural Network Attitude Controller of Spacecraft in Presence of Unknown NonlinearDynamic model

Neural nets are a promising tool for attitude control dueto its inherent nonlinear behavior, which makes them anatural candidate to control nonlinear systems. In thispaper, an attitude control algorithm is developed based onneural-network for a satellite. For this reason, the newlydefined learning rules of the neural networks areestablished appropriately for a spacecraft, to estimateunknown nonlinear dynamic model of satellite. Then, toprove the stability of the closed-loop dynamics with thecontrol law, Lyapunov stability theory is considered.finally, the performance of the designed attitudecontroller is investigated by simulations.

کلیدواژه ها:

Attitude control ، Neural network ، Nonlineardynamics ، Space craft.