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The Application of Full Adaptive RBF NN to SMC Design of Missile Autopilot

机译:完全自适应RBF神经网络在导弹自动驾驶仪SMC设计中的应用

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摘要

A new adaptive sliding-mode control (SMC) scheme was proposed, which incorporated Full Adaptive RBF NN into sliding-mode control using Full Adaptive RBF NN to approximate the equivalent control and the upper bound of uncertainty which involved the disturbance and approximation error, thus the influence of modeling error was reduced and the gain of sliding-mode control part was more fitting, such that the chattering effects could be alleviated . Lyapunov stability theorem was used to prove the stability of the system and the adaptive laws were deduced. Finally, simulation results of some BTT missile were included to illustrate the effectiveness of the adaptive sliding-mode control scheme.
机译:提出了一种新的自适应滑模控制(SMC)方案,该方案将全自适应RBF NN结合到使用全自适应RBF NN的滑模控制中,以近似等效控制和涉及干扰和逼近误差的不确定性上限,因此减少了建模误差的影响,并且滑模控制部分的增益更加合适,从而可以减轻抖动的影响。利用Lyapunov稳定性定理证明系统的稳定性,并推导了自适应律。最后,包括一些BTT导弹的仿真结果,以说明自适应滑模控制方案的有效性。

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