A flight controller structure based on RBF NN was designed,and its control law and tunned law for RBF NN parameters.(center and width of gauss function, weight) were presented. F8 Fight aircraft was taken as the control object and a simulation was thus performed. The results from simulation show that, even under 70% model error, this controller manifests excellent control performance and good robustness. Fully-tunned law presented in this paper is better than the conventional algorithm which only adjusts weight value of RBF NN.
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孙志兵,戴金海.基于RBF神经网络的直接自适应飞行控制器[J].国防科技大学学报,2007,29(1):30-34. SUN Zhibing, DAI Jinhai. Direct Adptive Neuro Flight Controller Based on RBF NN[J]. Journal of National University of Defense Technology,2007,29(1):30-34.