基于自适应神经模糊推理系统的导弹直/气复合控制系统设计

针对导弹直/气复合控制问题,提出了一种基于自适应神经模糊推理系统的导弹直/气复合控制系统设计方法.首先,建立了直/气复合导弹数学模型.然后,针对常规模糊控制设计严重依赖经验的问题,在模糊控制的基础上引入神经网络,通过样本数据学习建立自适应神经模糊推理系统(ANFIS),并设计了脉冲调宽调频调制器.最后,通过仿真试验验证了所提的控制系统设计方法.仿真结果表明,基于ANFIS的导弹直/气复合控制系统能够快速精确地跟踪加速度指令.

Design of Missile Direct/Air Compound Control System Based on Adaptive Neuro-Fuzzy Inference System

Aiming at the problem of missile direct/air compound control, a design method of missile direct/air compound control system based on adaptive neuro-fuzzy inference system is proposed. Firstly, the mathematical model of direct/air composite missile is established. Then, aiming at the problem that conventional fuzzy control design relies heavily on experience, neural network is introduced on the basis of fuzzy control, and adaptive neuro-fuzzy inference system(ANFIS) is established by learning sample data, and pulse width modulation and frequency modulation modulator is designed. Finally, the proposed control system design method is verified by simulation tests. The simulation results show that the missile direct/air compound control system based on ANFIS can quickly and accurately track the acceleration command.