单神经元PID控制的吊车防摆定位系统  

Anti-swing and pinpoint Control of Crane Based on Single Neural Self-adaptive PID Control

作　　者：刘学军[1] 

机构地区：[1]吉林北华大学电气信息工程学院,吉林132021

出　　处：《微计算机信息》2007年第34期65-66,40,共3页Control & Automation

基　　金：吉林省科技厅项目(20050263)

摘　　要：针对桥式吊车水平运动系统是一个非线性、变参数、强耦合的对象,本文设计了具有自学习和自适应能力的单神经元构成单神经元自适应智能PID控制器,将其应用于吊车的定位和防摆控制。仿真实验结果表明,该种控制方案简单,能适应环境的变化,有较强的鲁棒性。As to the horizon motion system of Bridge Crane is a nonlinear, variation parameter and strong coupling system, The single neural self-adaptive intelligent PID controller which has self-learning and self-adaptive is designed, and this method is used in is used for positioning and anti-swing. The results of simulation test indicate that the proposed system has strong robustness and simple structure, and good adaptability.

关 键 词：单神经元自适应 非线性 鲁棒性 

分 类 号：TP273.4[自动化与计算机技术—检测技术与自动化装置]