ZOU Yifei, LIU Wu, YAN Zhongwen, et al. Attitude control system of quadrotor based on PID neural network[J]. 2020, (1): 68-70+74. DOI: 10.13873/J.1000-9787(2020)01-0068-03.
基于PID神经元网络的四旋翼飞行器姿态控制系统
摘要
针对PID控制对于四旋翼飞行器这类强耦合系统参数整定困难和控制稳定性不足的问题
提出了基于PID神经元网络(PIDNN)的新型控制算法
并设计了基于STM32微处理器的微飞行器。MATLAB系统仿真和飞行测试结果表明
相比于传统PID控制
PID神经元网络控制具有较快的稳定时间和较小的超调量
提高了系统的稳定性和自适应能力
同时实现了广义解耦。
Abstract
Aiming at the problem that the traditional PID controller has difficulty in parameter setting and lack of control stability for strongly coupled system such asquadrotor
a new type of control algorithm based on PID neural network( PIDNN) is proposed. A micro quadrotor is designed based on STM32 microcontroller. The simulation of the system by MATLAB shows that compared with the traditional PID control
PID neural network control has faster stable time and less overshoot
which improves the stability and adaptive ability of the system
and generalized decoupling is realized at the same time.