基于神经网络PID控制算法的自动调平系统的仿真研究  

Simulation on Automatic Leveling System Using PIDNN Control Algorithm

作　　者：李楠[1] 吴玉厚[1] 

机构地区：[1]沈阳建筑大学机械工程学院,辽宁沈阳110168

出　　处：《机电产品开发与创新》2015年第6期109-110,共2页Development & Innovation of Machinery & Electrical Products

摘　　要：高空作业平台是我国现代工业和民用建筑施工过程的重要施工机械之一。在施工过程中,为防止平台的倾斜,平台在作业过程中必须与地面保持平行状态,故需要对高空作业平台安装自动调平系统,通常自动调平的方法有两种:由传统PID控制的角度误差调平法和位置误差调平法,但两种方法都存在调平速度较慢超调量过大响应时间较小,可控性差等缺点。因此论文提出一种神经网络PID的控制方法,此方法很好的解决了上述问题。Suspended access platform is one of the most important construction machinery in modern industrial and civil building construction process of our country, to prevent the platform tilted, the platform must be kept parallel with the ground state. Therefore, it is necessary to install automatic leveling system for high altitude for Suspended access platform, there are two kinds for automatic leveling method： leveling angle error and position error adjustment method controlled by the traditional PID, but two methods are adjustable flat slower overshoot re-sponse time is very short, poor controllability shortcomings. In this paper, a neural network PID control method is proposed, which is a good solution to the above problems.

关 键 词：高空作业平台 自动调平系统 神经网络PID 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]