A dynamic inverse control law for hypersonic vehicles based on fuzzy logic

An integrated control law is presented considering a nonlinear model of generic hypersonic vehicle as a plant. Based on dynamic inverse theory, the nonlinear model is transformed into an equivalent affine system. Then a dynamic inverse controller could be designed according to the equivalent system. What´s more, two fuzzy logic regulars are used to adapt control parameters on line, and the fuzzy rules are optimized based on a genetic algorithm. Simulation results show that the above method can provide satisfied robustness, smooth commands and rapid convergence of the fuzzy rules.