基于BP神经网络的压电智能旋翼主动减振仿真分析

Simulation Analysis of Active Vibration Reduction of Piezoelectric Intelligent Rotor Based on BP Neural Network

摘要: 为提高搜救飞行器在突发外力干扰下依旧可以保持平稳运行的能力，以自身调节机制来迅速响应和适应外力冲击实现主动减振的压电复合材料设计了智能旋翼结构；基于BP神经网络算法的PID控制方法，建立了压电智能旋翼主动减振控制模型；利用Matlab/Simulink平台，通过神经网络算法对偏航角、横滚角、俯仰角三个参数动态调整从而实现飞行过程中对飞行器实时控制。最后在考虑实际飞行控制状态下进行了控制仿真试验。结果表明，该主动减振控制方法，具有带扰动补偿的反馈控制作用，可以有效抑制旋翼在飞行过程中产生的振动，减振效果可提高15%~30%。

Abstract: In order to improve the ability of search and rescue aircraft to maintain stable operation even under sudden external interference, an intelligent rotor structure is designed based on the piezo-electric composite material that uses its own adjustment mechanism to quickly respond and adapt to external impacts to achieve active vibration control method; piezoelectric intelligent rotor active vibration reduction model has been established based on PID control method of BP neural network algorithm; Achieve real-time control of the aircraft during flight by adjusting dynamically yaw angle, roll angle and pitch angle using BP Network, using Simulink module. Finally, a control simulation test is carried out considering the actual flight control state. The results show that the active vibration reduction control method has a feedback control function with disturbance compensation, which can effectively suppress the vibration of the rotor during flight, and the vibration reduction effect can be increased by 15%~30%.