摘要
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,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,设计了一种基于BP神经网络的自适应调度算法(BPASM)。仿真结果表明,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 missiles are inevitablely accompanied by aerodynamic, inertial and control coupling. Although the three autopi- lots 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 decoapling 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.
出处
《固体火箭技术》
EI
CAS
CSCD
北大核心
2017年第6期785-792,共8页
Journal of Solid Rocket Technology
基金
北京理工大学基础研究基金(20130142017)
