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滚转导弹具有气动、惯性及控制耦合特性,三回路过载驾驶仪具有较好的动态响应特性,但俯仰与偏航双通道之间会存在耦合。为了实现了双通道完全独立,本文采用动态解耦算法设计了一种基于状态反馈与输入变换的解耦过载驾驶仪,弥补了三回路驾驶仪无法消除耦合特性的不足。滚转导弹制导段跨越的空域较大,气动参数非线性特性较强,在特征点数量较少的情况下,传统的基于插值方法的控制器参数增益调度策略的效果并不理想。针对滚转导弹耦合和传统增益调度设计有缺陷的问题,本文设计了一种基于BP神经网络的自适应调度算法(BPASM),仿真表明,在特征点数量较少时,解耦效果更好,且在线计算量小,设计简便,具有一定的工程指导意义。
Rolling missile with aerodynamic, inertial and control coupling characteristics, three-circuit overload pilot has good dynamic response characteristics, but there will be a coupling between the pitch and yaw dual channels. In order to achieve complete dual-channel independence, a dynamic decoupling algorithm is used to design a decoupled overdrive pilot based on state feedback and input transformation to make up for the lack of coupling characteristics of the three-loop pilot. The large airspace spanned by the guided segment of the missile and the non-linear aerodynamic characteristics are strong. The traditional parameter-based scheduling strategy based on the interpolation method is not effective in the case of a small number of feature points. Aiming at the problems of the design of the roll-coupled missile and traditional gain scheduling, this paper designs an adaptive scheduling algorithm (BPASM) based on BP neural network. The simulation shows that the decoupling effect is better when the number of feature points is small, And online computing is small, simple design, with some engineering guidance.