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押对现有飞机刹车防滑系统的控制算法进行了改进,采用了神经网络的BP算法和模糊实时控制,并用数字信号处理器(DSP)在嵌入式系统中实现了神经网络算法。结果表明,飞机防滑刹车效率有了明显改进,鲁棒性增强。
The control algorithm of the existing aircraft brake anti-skid system is improved. The BP neural network algorithm and fuzzy real-time control are adopted, and the neural network algorithm is implemented in the embedded system by digital signal processor (DSP). The results show that the aircraft anti-skid braking efficiency has been significantly improved, robustness enhanced.