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针对执行机构饱和非线性未知的碟形飞行器,在考虑执行机构动态的基础上,设计了基于神经网络的滑模控制器,给出了相应的控制律和参数选择方法。神经网络用来估计执行机构的饱和量,从而在设计控制器时,可以对执行机构的饱和进行相应补偿。仿真结果表明了该方法的正确性和有效性。
Based on the dynamics of actuators, a sliding mode controller based on neural network is designed for the aircraft with saturated and nonlinear unknown actuator. The corresponding control law and parameter selection method are given. The neural network is used to estimate the saturation of the actuator so that when the controller is designed, the saturation of the actuator can be compensated accordingly. The simulation results show that the method is correct and effective.