基于神经元的方波发生器设计及参数优化

Design of a neuron-based square wave generator and parameters optimization

为了保证电子设备在复杂的电磁环境中正常运行,需要对其进行电磁防护。传统的电磁防护方法尽管已取得较好的防护效果,但是还存在一定的不足。为了弥补传统电磁防护的不足,本研究提出基于神经抗扰机制的电磁仿生方法,并具体提出基于神经元抗扰机制的新型方波发生器。采用最接近生物神经元电生理活动的数学模型Hodgkin-Huxley模型对新型方波发生器进行设计。利用Matlab的Simulink工具箱搭建方波发生器的仿真程序,分析方波信号占空比的特性,得到模型参数对占空比的影响程度。基于田口方法的望小特性优化方波发生器的模型参数,从而得到特定占空比。该方波发生器可为智能电子设备提供稳定可靠的方波信号。

The electromagnetic protection for electronic equipments is necessary for ensuring the normal operation of the electronic equipments in complex electromagnetic environment.Although the traditional electromagnetic protection methods have achieved some protection effects,they still have drawbacks.In the study,a bio-inspired electromagnetic protection method is proposed based on the anti-interference mechanism of neuron to make up the shortcomings of traditional electromagnetic protection methods,and the corresponding square wave generator is designed by Hodgkin-Huxley model,a mathematical model closest to the electrophysiological activity of neurons.The simulation program for the novel square wave generator which is set up by the Simulink toolbox of Matlab is used to analyze the characteristics of the duty ratio of square wave signals and obtain the relationship between duty ratio and model parameters.In order to obtain the special duty ratio,the model parameters of the square wave generator are optimized based on smaller-the-better characteristics of Taguchi method.The proposed square wave generator can provide stable and reliable square wave signals for intelligent electrical equipments.