【摘要】 针对四旋翼飞行仿真器系统具有多输入、多输出及多变量等特点，设计了一套基于四旋翼飞行仿真器的PID神经元网络控制器。首先建立四旋翼飞行仿真器系统模型，然后以四旋翼飞行仿真器为控制平台，并以MATLAB/Simulink软件为实验平台，搭建PID控制器和PID神经元网络控制器模型，并分别使用两种控制方法进行实时飞行仿真实验。最后实验结果表明，相比PID控制，PID神经元网络控制方法对四旋翼飞行仿真器的调节时间更短、超调量更小，具有更优的控制性能。更多还原

【Abstract】 APID neural network controller based on the quadrotor flight simulator was designed for the multi-input and multivariable characteristics of the quadrotor flight simulator system. Firstly,the system model of quadrotor flight simulator was established,then,PID controller and PID neural network controller model were built on the control platform of quadrotor simulator and the experiment platform MATLAB/Simulink software and two control methods were used for real-time flight simulation experiments. The final experimental results indicate that,compared with PID control,the PID neural network control method has shorter regulation time and smaller overshoot for the quadrotor flight simulator,and has better control performance.更多还原