PD-correction functional link network control for air-breathing hypersonic vehicles

A proportional-derivative (PD) correction partially-feedback-functional-link-network (PFFLN) control method is presented for air-breathing hypersonic vehicles (AHVs) with dynamical uncertainties. The control law consists of a nonlinear generalized predictive controller (NGPC), a PD-correction PFFLN control adjustment, and an adaptive robust control (RC) item. The latter two are used for approximating uncertainties in the slow-loop attitude system, and the PFFLN is applied to the fast-loop one. The network weights and robust gains are online tuned based on Lyapunov stability theorem and the learning process does not need offline training. Finally, simulation results show a satisfactory attitude control effect for the AHV subjected to dynamical uncertainties and disturbances.

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