基于灰色预测的参数自校正构架电阻炉温度模糊控制系统  

Temperature Fuzzy Control System for Frame Resistance Furnace Based-on Gray Prediction Model'S Parameter Self-Control

作　　者：罗伟[1] 

机构地区：[1]湖南铁道职业技术学院,湖南株洲412001

出　　处：《计算机测量与控制》2013年第4期965-967,976,共4页Computer Measurement &Control

基　　金：2010年度湖南省教育厅科学研究项目

摘　　要：针对转向架构架生产、组装过程中温度具有非线性、时滞、随机性和动态时变等特点,提出了一种基于灰色预测的智能算法,首先,利用灰色预测的强自适应性,预测电阻炉炉温,减少了炉温滞后的影响,采用了一种参数自校正的模糊控制策略,对构架电阻炉温度进行控制;运行结果表明时效炉温度基本稳定在设定值的±5℃,经实践证明:该系统控制精度高,超调量小,能满足控制要求。During the production and the assembly process of the bogie frame had such characteristics as non-linear, time-delay, ran-dom and time-various, an intelligent control algorithm based on gray prediction model is proposed. Firstly, the temperature is predicted by using gray prediction which is strong self adapt ability, According to these traits, we used a parameter self-adjusting fuzzy control system to control the temperature of Frame Resistance Furnace. Finally, the run of system verified the temperature is stable. It shown that the sys-tem has high control and small overshoot, can satisfy the control needs.

关 键 词：构架电阻炉 温度 模糊控制 灰色预测 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]