基于非等间隔GM模型的船舶柴油机性能参数预测研究

Prediction of Performance Parameters of Marine Diesel Engine Based on Unequal Interval GM Model

针对采样间隔不等时传统GM模型失效问题,以TBD234V12相继增压柴油机为研究对象,分别采用加权处理和等时距变换对原模型进行改进,对两种模型应用于柴油机不同运行参数的预测效果进行了对比研究。试验及仿真验证结果表明:加权处理和等时距变换均能有效改善原模型精度,但是前者效果明显优于后者,不同参数GM模型的预测相对误差最高为4.4%,最低为0.24%。

Aiming at the invalidation of traditional GM model when sampling interval is unequal,the TBD234V12 sequential turbocharged diesel engine is taken as the research object.The original model is improved by equal time-distance transformation and weighting method respectively.The prediction effects of the two models applied to different operating parameters of diesel engines are compared.The experimental and simulation results show that both the two methods can effectively improve the accuracy of the original model,but the effect of the former is obviously better than that of the latter,the maximum relative error of GM model with different parameters was 4.4%and the minimum was 0.24%.