基于灰色关联机理组合模型的压缩机电功率预测  

Prediction of compressor electric power based on gray relational mechanism combination model

作　　者：程哲铭 陶乐仁[1,3] 黄理浩 章轻歌[1] CHENG Zheming;TAO Leren;HUANG Lihao;ZHANG Qingge(School of Energy and Power Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China;Zhoukou Normal University,Zhoukou 466001,China;Shanghai Key Laboratory of Multiphase Flow and Heat Transfer in Power and Engineering,Shanghai 200093,China)

机构地区：[1]上海理工大学能源与动力工程学院,上海200093 [2]周口师范学院,河南周口466001 [3]上海市动力工程多相流动与传热重点实验室,上海200093

出　　处：《流体机械》2024年第4期87-94,共8页Fluid Machinery

基　　金：国家高科技研究发展计划项目(2008AA05Z204);上海市动力工程多相流动与传热重点实验室开放基金项目(13DZ2260900)。

摘　　要：为了精确获得压缩机电功率,通过变频滚动转子制冷系统实验台,根据灰色关联(GRM(1,m))预测模型样本需求量少、预测精度高与机理(Mechanism)模型能够反映系统本质特性的特点,利用Matlab语言编程建立GRM(1,m)-Mechanism组合预测模型。通过3种模型对压缩机电功率进行预测,结果表明:GRM(1,m)-Mechanism组合模型的预测精确性和适用性更好,其最大相对误差、平均相对误差分别为4.05%,1.71%;比机理模型分别降低了1.29%,1.09%;比灰色关联(GRM(1,m))预测模型降低了1.02%,2.19%。最后,通过压缩机变转速试验验证组合模型预测平均相对误差在1.9%以内,进一步证明GRM(1,m)-Mechanism组合模型的精确性和适用性。In order to accurately obtain the compressor electric power,the GRM(1,m)-Mechanism combination prediction model was established using Matlab language through the experimental bench for the variable frequency rolling rotor refrigeration system according to the characteristics of the (GRM(1,m)) prediction model such as low sample demand for gray correlation,high prediction accuracy and its ability to reflect the system essential characteristics.The compressor electric power was predicted by these three models respectively.The results show that the GRM(1,m)-Mechanism combination prediction model has better prediction accuracy and applicability than two other models.Its maximum relative error and average relative error were 4.05% and 1.71% respectively,which were 1.29% and 1.09% lower than that of the Mechanism model,and 1.02% and 2.19% lower than that of the gray correlation(GRM(1,m)) prediction model.Finally,the average relative error of combination prediction model was verified to be within 1.9% by the compressor variable speed experiments,which further proved the accuracy and applicability of the GRM(1,m)-Mechanism model.

关 键 词：变频滚动转子 电功率 灰色关联 机理 预测 

分 类 号：TH12[机械工程—机械设计及理论] TB65[一般工业技术—制冷工程]