基于神经网络PID的汽车座椅强度测试控制

Study on Test Control Seat Strength Based on PID Neural Network

汽车座椅性能的好坏直接关系到乘客的人身安全。因此,汽车座椅的检测技术必须具有精准、稳定的控制系统。本文对检测设备的控制系统进行建模,针对普通PID控制的缺点,提出了一种基于神经网络整定PID参数的控制方法。在Matlab simulink里进行仿真实验,通过对比普通PID和神经网络PID的控制效果,得出基于神经网络PID控制的检测设备具有更高的安全性和精确性。

The car seat performance is directly related to the safety of passengers.Therefore,we must have accurate detection technology of automobile seat,the stability of the control system.In this paper,the control system of in-spection equipment is modeled.Compared with ordinary PID control algorithms,proposed a neural network control method based on PID parameter tuning.Simulation experiments are performed in Matlab simulink.By comparing the control effects of common PID and neural network PID,It is concluded that the detection device based on neural network PID control has higher security and accuracy.