基于单神经元PID控制的双旋翼实验平台系统研究  

Research on double rotor experimental platform system based on single neuron PID control

作　　者：闻新[1] 陈镝 乔羽 WEN Xin;CHEN Di;QIAO Yu(College of Aerospace Engineering,Shenyang Aerospace University,Shenyang 110136,China;School of Economics and Management,Yanshan University,Hebei Qinhuangdao 066004,China)

机构地区：[1]沈阳航空航天大学航空宇航学院,沈阳110136 [2]燕山大学经济管理学院,河北秦皇岛066004

出　　处：《沈阳航空航天大学学报》2018年第4期36-44,共9页Journal of Shenyang Aerospace University

摘　　要：将Delta学习规则应用到单神经网络PID控制中并验证其稳定性,然后建立双旋翼实验平台的数学模型。在Matlab环境下,运用两种不同的控制——传统PID控制和单神经网络PID控制,对双旋翼实验平台系统进行单位阶跃响应和正弦信号响应仿真实验。通过比较仿真结果得出单神经网络PID控制比传统PID控制反应更快速,电机的能耗更低,具有更好的控制性能。Apply the Delta learning rule to the single neural network PID control and verify its stability,thenestablish the mathematical model of the twin rotor experimental platform. Use two kinds of control,traditional PID control and single neural network PID control,to do the unit step response control test and sinusoidal signal response control of dual rotor system experimental platform under the same condition in the condition of Matlab. The simulation results show that single neural network PID control can react more quickly than traditional PID control,and the motor has lower energy consumption and better control performance.

关 键 词：单神经元控制 PID控制 双旋翼 MATLAB仿真 

分 类 号：TP273.5[自动化与计算机技术—检测技术与自动化装置]