Study On A Reconfigurable Control Strategy Upon RBF For UAV

It is assurance of flight safety for an unman aerial vehicle(UAV) holding a control system with high tolerance and reliability.When any fault occurs,how to adjust control laws to make the fault UAV maintain safe flight ability is very important..In the paper,regarding an UAV's reconfigurable control problem,a reconfigurable control strategy is introduced,in which the RBF neural network is used.The main contents are listed as follows:1.By analyzing kinematics,dynamics of UAV,the motion model of UAV is established.Simultaneously it has conducted the analytical study to UAV's faults, and then UAV model with some typical faults are given.2.After research the RBF neural network and its application,it is adapt to reconfigure the flight control strategy of UAV,and then,a reconfiguarable control strategy of UAV is given on the basis of combination of RBF and model following.3.Take the UAV as example,by using the designed reconfigurable control strategy,the simulation are done under wind disturbance condition and no wind one.The results show that the reconfiguarable control stragety based on the RBF,which introduced in the paper,has high robust and reliability.It provide reference for application study of the intelligent reconfigurable technique on UAV.