BTT导弹自适应模糊基函数网络控制

研究自适应模糊基函数网络在复杂的BTT导弹控制中的应用. 应用模糊基函数网络的非线性拟合特性逼近一类非线性系统的理想控制律,引入自适应律,保证闭环系统具有较好的鲁棒稳定性能和抗干扰性能. 根据Lyapunov稳定性定理,证明了所提出的方法能保证相应的非线性控制系统是渐近稳定的,系统的跟踪误差将收敛到零. 将提出的方法应用于BTT导弹,仿真结果验证了这一设计方法的有效性.

Adaptive Fuzzy Basis Function Networks Control for BTT Missile

The paper presented a new adaptive fuzzy basis function (FBFN) controller for bank-to-turn(BTT) missile, which is a complicate nonlinear plant. Method FBFN was used as a universal approximator to achieve the ideal control law of a nonlinear system and the adaptive adjusting law was adapted to assure the excellent robust stability and rejecting disturbance. Based on the Lyapunov stability theory, the global stability analysis showed that the states and tracking errors of the system are uniformly bounded. The proposed method was applied to the BTT missile, and the simulation results demonstrated the effectiveness of the proposed method.