earticle

영어

Dealt with the Lipschitz nonlinear system with unknown input disturbances, the robust fault diagnosis observer algorithm is proposed. In order to improve the limitations of the traditional methods on assumption that the norm of unknown input disturbances is bounded, the disturbances constraint condition that satisfies the system stability is derived via the group algebra theory. It is verified that a class of systems under the norm bounded constraint condition is unstable. The robustness performance index is defined to ensure the robustness of the fault diagnosis observer designed. The fault diagnosis observer constructed is robust asymptotic convergence observer under the constraint of robustness performance index derived using the Gronwall lemma. In the decision-making, adaptive threshold is designed. Finally, the simulations are performed on missile attitude control system. Simulation results show that the effectiveness of the algorithm proposed.