Using fuzzy logic in dynamic inversion flight controller with considering uncertainties

In this paper a fuzzy logic control (FLC) law for a nonlinear control method is introduced. Dynamic inversion is a nonlinear control synthesis technique in which the inherent dynamics of a dynamical system are canceled out and replaced by desired dynamics, selected by the designer. The output of such an inner-loop controller is the control input, which produces the desired closed-loop response. The accuracy of control response in dynamic inversion method is depend on two gain which are locate before the outer loop and inner loop. This paper attempts to find a solution to tune these gains for a better control performance. We used fuzzy logic control for proposed design. In this method by using fuzzy rules, the outer loop gain of dynamic inversion method is tuned for obtaining a better performance in controlling nonlinear model of aircraft. The performance of the introduced control law is compared with classical dynamic inversion. The simulation results show that introduced method performs better than classical dynamic inversion. Moreover, the simulations show that the fuzzy dynamic inversion method that we proposed is robust on uncertainties of model parameters such as mass.