Adaptive Control Method for Hypersonic Flight Vehicles with Constrained to Guarantee Prescribed Performance

To solve the problem of stable trajectory control of the longitudinal motion model of hypersonic vehicle with input constraints, an adaptive control method is designed to guarantee the preset performance. First, the hypersonic vehicle model is divided into velocity and altitude subsystems in order to facilitate controller design. Then, the Nussbaum function is introduced to design an adaptive law to solve the input saturation constraint problem, while a prescribed performance controller is designed for the subsystem to improve the transient and steady-state performance of the system. To address the problem of relying on artificially optimized control parameters, a strategy capable of adaptively optimizing control parameters is proposed based on the Cuckoo Search (CS) algorithm, and finally, the stability of all closed-loop systems is demonstrated based on Lyapunov stability theory. The simulation results show that the controller is able to track the reference signal stably.