滚转导弹解耦过载驾驶仪及其BP自适应调度法

Rolling missiles are inevitablely accompanied by aerodynamic, inertial and control coupling. Although the three autopilots have been proven to have better dynamic response characteristics, there is a motion coupling between the pitch and yaw channel, which can not be eliminated. In order to achieve a full independence of the pitch and yaw channels, a decoupling autopilot based on state feedback and input transformation was designed by using the dynamic decoupling algorithm. It can realize the decoupling of the dual channel completely, making up for the deficiency of the three loop autopilot at the same time. The rolling missile spans a larger airspace during guidance and brings strong nonlinear characteristics of aerodynamic parameters. In the case of small number of feature points, the control strategy based on interpolation method is not effective. According to the deficiency of the rolling missile coupling and traditional gain scheduling problems, an algorithm called BPASM which is based on BP neural network was designed. As a result, the decoupling effect is better, and the on-line computation is a little, which is possible to be used in engineering.