计算机应用与软件2011，Vol.28Issue(4)：132-134,3.
基于神经预测的模糊主动隔振控制技术研究
RESEARCH OF FUZZY ACTIVE VIBRATION ISOLATION CONTROL TECHNOLOGY BASED ON NEURAL NETWORKS FORECAST
摘要
Abstract
The paper applies neural networks forecast based fuzzy control technology to electrostatic levitation accelerometer ground experiment device active vibration isolation system. The neural networks forecast model refers to present controller and vibration platform output to forecast the next movement status of the vibration isolation platform; then send the status feedback to the fuzzy controller to enable it to make judgements in advance to control the vibration isolation platform. Study shows the algorithm not only can limit the control signal vibration, but also is good at restraining excessive frequency and isolating vibration for low-frequency vibration signals which are above 0.1 Hz.关键词
神经预测/主动隔振/低频Key words
Neural networks forecast/ Active vibration isolation/ Low frequency引用本文复制引用
宋仁旺,陈琳英..基于神经预测的模糊主动隔振控制技术研究[J].计算机应用与软件,2011,28(4):132-134,3.基金项目
高等学校博士学科点专项科研基金(20082003) （20082003）
山西省高校科技开发项目(20091023) （20091023）
