对直升机外挂部件的扰动机理进行分析,建立扰动条件下的直升机状态方程;利用傅里叶变换对直升机的稳态干扰响应进行重构,构造补偿信号;采用前馈控制方案,针对外挂部件不同转速和工作模式设计扰动控制律,抑制干扰影响;利用径向基神经网络实现全包线范范的抗扰控制律设计;仿真结果表明,采用上述的控制方案,可以取得满意的扰动抑制效果,表明了该方法的可行性和有效性.%The helicopter' s state equation is established under the disturbance to analyze the disturbing mechanism of the helicopter external hanging parts. The helicopter' s static disturbance is reconstructed to make compensation signal, using Fourier transformation. The disturbed control law is designed to suppress disturbance by using feed-forward control scheme, according to the different rotating speed and the working mode of the external hanging parts. By using RBF neural network, realize the full envelope control law for disturbance suppression. The simulation results show that the control method which the paper proposed, obtaining the satisfied effect in disturbance attenuation,is feasible and effective.
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