全文下载：2012010086
姜丽娟
（青岛科技大学 信息科学技术学院， 山东 青岛 266061）
摘要: 针对电加热输送油气出口温度控制的滞后现象，根据输入电能与输送油气出口温度的实测数据，建立了系统的预测回归模型，改善了系统的性能指标。通过实验确定了模型的阶数和滞后时间，用最小二乘法通过MatLab计算出最优的模型参数，为提高油气电加热温度控制精度提供了理论依据。
关键词: 油气电加热器； 温度； 回归模型； 最小二乘法
中图分类号: TQ 051.5文献标志码： A
Forecasting Control Regression Model of Oil and Gas
Delivery Temperature Based on the Electric Heater
JIANG Li-Juan
（College of Information Science and Technology, Qingdao University of Science and Technology, Qingdao 266061, China）
Abstract: In order to overcome the time-delay phenomenon about the outlet temperature control of the electric oil-gas heater, the forecasting regression model of system was established and the indicators of system performance were improved based on the measured data of the input power and oil and gas transmission's outlet temperature. The model parameter order and the lag time are determined through the experimental investigation, and the optimal model's parameters, which are calculated by MatLab with the least-square method, provides the theory basis to improve the temperature control accuracy of oil and gas transmission by electric heater.
Key words: electric oil-gas heater; temperature; regression model; least-square method
收稿日期:2011-08-09
作者简介: 姜丽娟（1960—），女，高级工程师.
