Research On Fuzzy Self-repairing Control For Fighter

This thesis takes a certain model of Fighters as the plant. The purpose is to study the self-repairing flight control technology in terms of engineering. A flight simulation system of the normal aircraft and fault aircraft self-repairing is established by MATLAB programs based on a robust adaptive tracking control method which is presented according to the fuzzy T-S model.First, a great deal of Aerodynamics and moment parameters are processed by Look-Up Table, and then the flight simulation model of normal aircraft and fault aircraft are established.Second, the T-S fuzzy model is adopted for modeling of the known nonlinear system approximately, meanwhile fuzzy-model-based H∞tracking control law is designed to track the desired output signal. Since a class of nonlinear system is unknown uncertain nonlinearities. Full adaptive RBF (Radial Basis Function )neural network control is used to improve the scheme of the fuzzy H∞tracking control , in order to press close to engineering practice. The effect of the uncertainties and the error caused by fuzzy modeling is overcome by the neural network. Simulation example is given to illustrate the effectiveness of the proposed method. It has solved the problem of weak robust when the linear control theory is used to control a complicated nonlinear systems like airplane.Third, self-repairing control of some kind of fault states of fighter is studied by using the robust adaptive tracking control method based on the fuzzy T-S model. Using RBF NN can restore the airplane to the normal state by online regulating the effect of the uncertainties and the error caused by fuzzy modeling. In addition, an artificial neural network fault verification method is presented, using the information that product by reconfigurable control law.Finally, the flight simulation system is established. Results of the simulation test have demonstrated that the method in this thesis is suit to not only the normal aircraft, but also the fault aircraft.