摘要
针对戈壁地貌地形探测器接地压力调节系统具有的非线性特点,提出了地形探测器接地压力的BP神经网络PID控制方法,设计了BP神经网络PID控制器,并利用MATLAB软件编程进行了仿真分析和实验。研究结果表明,BP神经网络PID复合控制较之常规PID控制可使系统具有更优的动态性能和良好的跟随特性,是一种有效的控制策略。
To resolve the non-linearity of the Gebi topography detector＇s grounding pressure regulation system,we put forward a control method for the regulation system based on BP（ back propagation） neural network and design a BP neural network and PID（ proportional / integral / differential） controller. We use the MATLAB to simulate the model of the topography detector＇s ground pressure regulation system and test the control result. The simulation and experimental results and their analysis show preliminarily that compared with the ordinary PID control method,the BP neural network and PID control method better dynamic characteristics,thus being an effective control method.
出处
《机械科学与技术》
CSCD
北大核心
2016年第1期122-125,共4页
Mechanical Science and Technology for Aerospace Engineering
关键词
地形探测器
接地压力
BP神经网络PID
仿真
actuators
backpropagation algorithms
computer simulation
control
controllers
efficiency
errors
flowcharting
mathematical models
MATLAB
neural networks
schematic diagrams
sensors
three term control systems
topography
BP neural network
grounding pressure
PID controller
