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为提高航空发动机非线性不确定分布式控制系统的鲁棒性,考虑参数摄动,外部干扰,随机时延的影响,采用一种基于飞行包线划分的航空发动机T-S模糊模型,进行了鲁棒自适应滑模控制方法的研究。基于鲁棒H∞理论,针对模糊规则的状态空间模型,推导了滑模运动渐进稳定的充分条件,设计具有扰动抑制性能的鲁棒滑模面;基于并行分布补偿技术,采用与T-S模型相同的模糊规则,确定全局模糊滑模控制器设计策略,在此基础上,采用自适应技术估计未知干扰上界,设计了自适应滑模控制器,并证明了系统在控制器作用下的到达性。仿真结果表明该方法能够保证系统渐进稳定,对所考虑的不确定性因素鲁棒性较好,有效削弱了抖振,对不同工作点和干扰条件具有良好的适应性。
In order to improve the robustness of aero-engine uncertain nonlinear distributed control system, considering the influence of parameter perturbation, external disturbance and random time delay, a TS fuzzy model based on flight envelope division for aeroengine was implemented and robust Research on Adaptive Sliding Mode Control. Based on the robust H∞ theory, a sufficient condition for the asymptotic stability of sliding mode motion is deduced for the state space model of fuzzy rules, and a robust sliding mode surface with disturbance rejection performance is designed. Based on parallel distributed compensation technique, the same as TS model Fuzzy rules to determine the design strategy of the global fuzzy sliding mode controller. Based on this, an adaptive sliding mode controller is designed by using adaptive technique to estimate the unknown interference upper bound, and the reachability of the system under the controller is proved. The simulation results show that the proposed method can ensure the system to be asymptotically stable, robust to the uncertainties under consideration, effectively attenuate the chattering and have good adaptability to different working conditions and interference conditions.