摘要
针对直接力/气动力复合控制导弹的参数严重不确定和多操纵机构的耦合问题,文中利用动态逆控制器适应系统的非线性要求,并用神经网络补偿动态逆控制系统所需要精确模型的不足,考虑到作动器的位置/速率饱和和延时的情况,增加了伪控制隔离器,以解决神经网络由于作动器的各种异常出现适应性困难的问题。最后通过仿真实验证明该算法满足扰动条件下飞行稳定性要求,提高了系统的鲁棒性。
As the nonlinear effect and coupling character of the flight dynamics has become a big problem for the blended aero and reaction jet flight control systems, an adaptive nonlinear dynamic inverse control algorithm based on pseudo-control hedge (PCH) was presented. The method adopts a BP network with an adaptive element to account for the inverse error. Because of the effect of actuator saturation, the PCH was introduced to reduce the level and duration of actuator saturation. The simulation result proves that the new flight control system is robust with respect to aerodynamic modeling inaccuracy and to external disturbances.
出处
《弹箭与制导学报》
CSCD
北大核心
2010年第5期17-19,28,共4页
Journal of Projectiles,Rockets,Missiles and Guidance
基金
直接力/气动力复合控制下导引/控制一体化设计技术研究(20080151004)资助
关键词
导弹控制
复合控制
动态逆
BP网络
伪控制隔离器
missile control
compound controller
dynamic inversion
back-propagation network
pseudo control hedge