基于GM(1,1)模型和MATLAB GUI的相继增压柴油机性能预测  

Performance prediction of a sequential turbocharging diesel engine based on GM(1,1) model and MATLAB GUI

作　　者：祖象欢 杨传雷[1] 王银燕 

机构地区：[1]哈尔滨工程大学能源与动力工程学院,黑龙江哈尔滨150001

出　　处：《哈尔滨工程大学学报》2015年第11期1454-1458,共5页Journal of Harbin Engineering University

基　　金：国家科技支撑计划资助项目(2012BAF01B01)

摘　　要：用于船舶上的相继增压柴油机运行环境恶劣,为提高运行过程的安全性和可靠性,建立了性能参数状态及趋势实时在线仿真模型。对于波动大的数据如涡轮增压器转速、涡轮后排气温度等,采用原始序列变换的方法,使改进后的模型能充分利用原始数据提供的信息,有效解决了其预测精度低的问题。利用MATLAB编写了灰色预测程序,并采用GUI设计和建立了灰色预测仿真平台。通过将平台仿真结果与试验数据对比表明:改进后的GM(1,1)模型不仅能对单调数列进行精确预测,也可对波动数据序列进行精确预测。Aiming at improving the security and reliability of a sequential turbocharging marine diesel operating in harsh operating conditions, a real-time online simulation model with state and trend of performance parameter was created. In order to improve the forecasting accuracy of a grey GM （ 1,1 ） model for fluctuating parameters such as turbocharger speed and exhaust temperature, this paper transformed the original sequence to make full use of the o- riginal data, thus effectively solving the low forecasting precision problem. A grey prediction program was written in MATLAB, then grey prediction simulation platform was designed and established in GUI. Comparing the GUI simu- lation results with the test data, it shows that the optimized GM （ 1,1 ） model has achieved accurate prediction for both mono tone sequence and fluctuating parameters.

关 键 词：柴油机 相继增压 灰色预测 GM(1 1)模型 图形用户界面 序列变换 

分 类 号：TK427[动力工程及工程热物理—动力机械及工程]