模糊理论和神经网络的激光器温控系统

Laser temperature control system based on fuzzy theory and neural network

温度对激光器的性能影响十分重要,受到其它因素干扰时,传统激光器温控系统的控制精度低、稳定性差。为了获得更优的激光器温度控制结果,提出了基于模糊理论和神经网络的激光器温控系统。首先对激光器温控系统的当前研究现状进行分析,找到引起温控制系统性能变化的主要原因,然后采用模糊理论和神经网络对激光器温度控制系统的参数进行在线优化,以适应外界因素变化引起的温度波动,最后在Matlab2014R平台了实现激光器温控系统的性能测试,结果表明,该激光器温控系统可以有效、高精度的实现激光器温度控制,抗外界干扰能力强,为激光器温控系统提供了一种新的研究方法。

Temperature is very important on laser performance.The traditional laser temperature control system has low accuracy and poor stability when it＇s disturbed by other factors.In order to obtain better laser temperature control effect,the laser temperature control system based on fuzzy theory and neural network is proposed.First analyze the current research status of the laser temperature control system to find the main cause of its performance change.Then online optimize the parameters through the fuzzy theory and neural network to adapt to the temperature fluctuations caused by external factors change.Finally achieve the performance test in the Matlab 2014 R platform.The results show that it can effectively and accurately realize the laser temperature control and has strong anti-interference ability,and provides a new research method for laser temperature control system.