[1]周洪煜,陈晓煜,徐春霞..预测控制在中央空调净化系统中的应用[J].郑州大学学报(工学版),2008,29(03):73-75.[doi:10.3969/j.issn.1671-6833.2008.03.019]
　ZHOU Hongyu,CHEN Xiaoyu,Xu Chunxia.Application of predictive control in central air conditioning purification system[J].Journal of Zhengzhou University (Engineering Science),2008,29(03):73-75.[doi:10.3969/j.issn.1671-6833.2008.03.019]
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预测控制在中央空调净化系统中的应用()
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
29卷
期数:
2008年03期
页码:
73-75
栏目:
出版日期:
1900-01-01

文章信息/Info

Title:
Application of predictive control in central air conditioning purification system
作者:
周洪煜; 陈晓煜; 徐春霞.
重庆大学,动力工程学院,重庆,400030, 重庆大学,动力工程学院,重庆,400030, 重庆大学,动力工程学院,重庆,400030
Author(s):
ZHOU Hongyu; CHEN Xiaoyu; Xu Chunxia
关键词:
神经网络;  预测控制;  空气净化器;  中央空调
Keywords:
neural networks;  predictive control;  air purifiers;  Central air conditioning
DOI:
10.3969/j.issn.1671-6833.2008.03.019
文献标志码:
A
摘要:
针对常规PID控制在非线性、大惯性系统中存在滞后、精度低等弱点,构建了神经网络与预测算法相结合的控制系统.采用预控算法,充分利用预测控制的滚动优化和反馈校正的特性,采用神经网络建立系统的动态模型作为预测控制器的预测模型,实现了对大滞后系统的自适应控制,具有实时控制和预测性能,有效地提高了控制精度和可靠性,增强了稳定性.现场运行结果表明,在空气净化器系统中使用该方法效果良好,易于推广.
Abstract:
Aiming at the weaknesses of conventional PID control such as hysteresis and low accuracy in nonlinear and large inertial systems, a control system combining neural network and prediction algorithm is constructed. The pre-control algorithm is adopted, which makes full use of the rolling optimization and feedback correction characteristics of predictive control, and uses the neural network to establish the dynamic model of the system as the prediction model of the prediction controller, which realizes the adaptive control of the large lag system, which has real-time control and prediction performance, effectively improves the control accuracy and reliability, and enhances the stability. The field operation results show that the method used in the air purifier system has good effect and is easy to promote.

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更新日期/Last Update: 1900-01-01