摘要
为解决航天发动机试验中,通过三维PDA(Phase Doppler Anemometry)测量系统研究燃料喷注器雾化效果中对测量点精确定位的问题,采用自适应模糊神经网络PID控制算法实现对测量系统三维坐标架的步进电机进行控制。建立了一个步进驱动电机进行位置控制的传递函数模型,通过Matlab的Simulink仿真平台对步进驱动电机位移的PID控制、模糊PID控制及模糊神经网络PID控制的三种算法进行仿真。模拟实验结果表明:模糊神经网络PID控制将响应时间提升到0.05 s,并且大幅减小超调。相比于传统PID此方法可大幅提高坐标架定位的速度和精度。
In order to solve the problem of precise positioning of the measurement point in the study of the atomization effect of the fuel injector through the three-dimensional PDA(Phase Doppler Anemometry)measurement system in the aerospace engine ex-perimental system,an adaptive fuzzy neural network PID control algorithm is adopted to control the stepping motor of the three-di-mensional coordinate frame of the measurement system.The transfer function model of stepper motor position control is established.The PID control system,fuzzy PID control system and fuzzy neural network PID control system of stepper motor displacement are simulated through the Simulink platform of Matlab.Experiment shows that the adaptive fuzzy neural network PID control system im-proves response time to 0.05 s and substantially reduces overshoot.This method can greatly improve the speed and accuracy of coor-dinate frame positioning.
作者
肖镇浩
朱凌云
XIAO Zhenhao;ZHU Lingyun(College of Information Science and Technology,Donghua University,Shanghai 201600)
出处
《计算机与数字工程》
2024年第6期1658-1661,1870,共5页
Computer & Digital Engineering
