基于DSP的液压伺服系统模糊神经网络PID控制  

Fuzzy-neural Networks PID Control Based on DSP for Hydraulic Servo System

作　　者：黄山云[1] 陈照波[1] 焦映厚[1] 陈彬[2] 

机构地区：[1]哈尔滨工业大学机电工程学院,黑龙江哈尔滨150006 [2]哈尔滨理工大学机械与动力工程学院,黑龙江哈尔滨150080

出　　处：《液压与气动》2015年第9期15-18,25,共5页Chinese Hydraulics & Pneumatics

基　　金：国家自然科学基金(11372083)

摘　　要：针对道路模拟试验台阀控液压位置伺服系统,介绍一种高性能控制器的设计方法。以高性能的TMS320F28335 DSP芯片为核心设计控制器硬件,并应用模糊神经网络PID控制方法设计控制器软件。对试验台装置实验测试,结果表明,相比于传统PID控制,模糊神经网络PID控制在保证控制精度的同时,具有更小的超调量和更快的响应速度。A design method of high performance controller is introduced for the hydraulic position servo system of road simulator. The system hardware is designed by the high performance DSP chip TMS320F28335 as the main processor. The fuzzy-neural networks PID control method is used to design and realize the system software. The experimental results of test facility show that fuzzy-neural networks PID controller can provide a smaller overshoot and faster response speed as well as high accuracy compared with the traditional PID controller.

关 键 词：液压位置伺服系统 DSP 模糊神经网络 PID控制 

分 类 号：TH137[机械工程—机械制造及自动化] TP273[自动化与计算机技术—检测技术与自动化装置]