Data-Driven Fuzzy Controller Design for Hypersonic Vehicle

This paper presents a data driven fuzzy controller for a generic hypersonic vehicle. The fuzzy systems with any bounded nonconstant piecewise continuous membership functions are introduced to reconstruct the unknown system dynamics without relying on the exact mathematical models. The control law is designed based on the reconstructed fuzzy models. The stability analysis of the whole control system is presented from the Lyapunov function and shows that the tracking errors converge to zero. In order to save online computation time, the fuzzy membership function parameters are determined based on the idea of the OS-Fuzzy-ELM algorithm by randomly assigning the values to them. The simulation results demonstrate the superior performance of the proposed controller.