基于最小一乘能量预测的冰球式蓄冷系统  

Ice storage system based on LAV-prediction

作　　者：吴彭江[1] 孙明轩[1] 潘利红[2] 黄立维[2] 

机构地区：[1]浙江工业大学信息工程学院,浙江杭州310032 [2]浙江工业大学生物与环境工程学院,浙江杭州310032

出　　处：《浙江工业大学学报》2009年第3期311-315,319,共6页Journal of Zhejiang University of Technology

基　　金：浙江省自然科学基金资助项目(Y107494)

摘　　要：提出将近似最小l1模递推算法应用于冰球式蓄冷系统的能量预测,所提算法对干扰和量测噪声不敏感,具有较强鲁棒性;同时引入遗忘因子,通过对新旧测量数据予以不同权重,用时变系统来近似实际系统.在系统实现上,利用组态王实现数据采集、友好人机界面设计,利用MATLAB完成复杂的预测算法,充分发挥组态软件在工业控制上组态方便、开发周期短和MATLAB强大数值计算功能的优势,两者之间通过DDE技术实现数据实时通信.实际运行表明,所提预测算法成功应用于冰蓄冷系统能量预测.Through approximating l1-norm, a recursive identification algorithm is presented for the purpose of energy prediction in an ice storage system. The proposed algorithm exhibits robustness with respect to disturbance and measurement noise. Since the real system is modeled as a time-varying system, the forgetting factor is introduced as well to cope with measured data by setting different weights. For the implementation, KingView is adopted for data acquisition, with friendly human machine interface design, and MATLAB is used to carry out the on-line prediction computing. In the ice storage system, DDE technique is applied for the real time data exchange between the configuration software and MATLAB. Experimental results demonstrate that the developed predictor works well in energy prediction of the ice storage system.

关 键 词：鲁棒辨识 预测 冰蓄冷系统 动态数据交换 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]