Second-order DSC-based adaptive fuzzy tracking control for uncertain unmanned helicopter with fixed-time stability

The pervasive system uncertainties present a significant threat to the operation of unmanned helicopter and even lead to irreversible losses, such as fuselage crash and casualties. In this article, combining the fixed-time stability theory, an adaptive fuzzy second-order dynamic surface tracking control strategy is proposed for the attitude and altitude system of the uncertain unmanned helicopter. The fuzzy logic system is constructed to approximate the system uncertainties. The second-order dynamic surface control method is constructed to solve the explosion of computational complexity caused by the increase of power series and repeated differentiation. To verify the proposed control strategy ensures that all the signals of the uncertain unmanned helicopter are bounded and the setting time is independent of the initial conditions, the Lyapunov stability theory is utilized. Finally, the simulations are carried out to verify the property of the investigated control strategy.