飞行仿真转台模糊神经网络补偿的复合控制

针对飞行仿真转台系统的非线性和不确定性,提出了基于模糊神经网络补偿的复合控制器,该控制器由前馈控制器、闭环控制器及模糊神经网络补偿环节组成。前馈环节由零相差跟踪控制器及FIR滤波器构成,闭环控制器由PD控制及干扰观测器构成,补偿环节由一动态模糊神经网络实现,给出了基于Lyapunov函数的稳定性证明。该控制方法突出优点在于兼顾考虑了系统中的结构化不确定性和非结构化不确定性,能够在外部干扰与参数摄动并存的情况下,保证系统的稳定性和跟踪性能。

Complex Tracking Control Based on Fuzzy-neural Compensator for Flight Simulator

Disturbance observer robust digital tracking controller based on fuzzy-neural compensator for high precision flight simulator was presented. The controller consists of feedforward controller, feedback controller and fuzzy-neural network compensator. Feedforward controller composes of a zero phase error tracking controller and a zero phase low pass filter. Feedback controller consists of PD and a disturbance observer. Compensator used a dynamic recurrent fuzzy-neural network. And convergence theory based on lyapunov methods was suggested. Experimental result demonstrates that the proposed controller can effectively improve tracking performance, with strong robustness against parameter uncertainty and extern disturbance.