基于模糊自学习的导弹电液伺服机构滑模跟踪控制

Sliding Mode Tracking Control Based on Fuzzy Self-Learning for Missile Electro-hydraulic Servo Mechanism

针对导弹电液伺服机构的跟踪控制问题,设计了一种基于模糊自学习的滑模控制方案.在常规的滑模变结构控制中引入模糊自学习方法,有效地削弱滑模切换控制所产生的抖振.同时系统具有良好的跟踪性能,提高了电液伺服机构的跟踪精度.仿真比较结果验证了该控制方案的有效性.

Aiming at the tracking control problem of missile electro-hydraulic servo mechanism, a design method of sliding mode control based on fuzzy self-learning is presented. The chattering brought by sliding mode switch control can be effectively minimized by introducing fuzzy self-leaming in general sliding mode variable structure control. Simultaneously, the goal of tracking control is obtained, and tracking precision of electro-hydraulic servo mechanism is highly enhanced. The compared simulation results verify the validity of the proposed approach.