基于神经网络模糊PID的液压电梯速度控制研究  

Speed Control Study of Hydraulic Lift Based on Neural Network Fuzzy PID

作　　者：曹红英[1] 邢菲[1] 

机构地区：[1]开封大学机电工程学院,河南开封475004

出　　处：《开封大学学报》2009年第4期78-83,共6页Journal of Kaifeng University

摘　　要：研究了液压电梯的神经网络模糊PID控制策略.针对液压电梯的非线性数学模型,采用模糊、神经和PID三者结合的方式控制电梯速度,利用神经网络在线调整PID的参数.由仿真曲线得出,神经网络模糊PID控制器在动态特性、跟踪特性以及鲁棒性等方面都具有明显的优势.该控制器闭环性能好,是一种理想的控制器.This article studys neural net - work fuzzy PID controlling method about hydraulic lift, to non - linear mathematical model of hydraulic lift, adoptes the way of combine to control lift velocity, neural net - work adjusts PID parameters online. By simulating curve neural net- work fuzzy PID controller has obvious advantage at the aspect of developments, track, adjust. This controller has right closed loop capability and has been a kind of ideal controller.

关 键 词：液压电梯 神经网络模糊PID 鲁棒性 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]