关键词: 航空发动机；分布式控制系统；T-S模糊模型；滑模控制；不确定性

Abstract: In order to improve the robustness of aeroengine nonlinear uncertain distributed control system(DCS)，considering the impact of parameter perturbation，external disturbance，as well as the random time delay，the robust adaptive sliding mode control method analysis was conducted by employing a class of aeroengine T-S fuzzy model based on flight envelop division. For each state space model of the fuzzy rules，the sufficient condition for the asymptotical stability of sliding mode motion was deduced based on robust [H∞] theory，and the robust sliding mode surface with disturbance rejection performance was designed. Then the global fuzzy sliding mode controller strategy was identified based on the parallel distributed compensation technology，which shares the same fuzzy rules with the T-S model. On this base，the adaptive sliding mode controller was designed，in which the unknown disturbance upper bound was estimated using the adaptive technology. Then the system’s reachability performed by the controller was proved. Simulation results show that the proposed method could confirm the system’s asymptotical stability. The system robustness against the considered uncertainties is strengthened，and the chattering is weakened effectively. Besides，the controller shows good flexibility to different working point and disturbance condition.

Key words: Aeroengine；Distributed control system；T-S fuzzy model；Sliding mode control；Uncertainty