农业机械学报2024，Vol.55Issue(5)：440-448,9.DOI:10.6041/j.issn.1000-1298.2024.05.042
基于数字孪生的动力换挡拖拉机换挡策略研究
Shift Strategy for Powershift Tractors Based on Digital Twins
摘要
Abstract
Engine performance variations and traction fluctuations have a great impact on the adaptability of shift strategies for high-power power shift tractors(PSTs).In order to construct a dynamic accurate model and deal with traction fluctuation to improve the adaptability of PST shift strategy,an adaptive shift strategy development method was proposed based on digital twins.On one hand,the engine state change was regarded as an internal disturbance,and the virtual PST engine was calibrated in real time based on the deep deterministic strategy gradient algorithm,which was combined with the PST mechanism model to realize the real-time dynamic and accurate modeling of the PST.On the other hand,the traction fluctuation was treated as an external disturbance,and a deep Q-network was used to automatically generate the shift strategy.Finally,the virtual PST training simulation under plowing conditions and the speed tracking comparison test between the proposed method and the fuzzy adaptive method were carried out.The results showed that the average tracking errors of engine torque and fuel consumption rate did not exceed 7.28 N·m and 1.55 g/(kW·h),and dynamic and accurate modeling of physical PST was achieved.After using for a long time,the changes of engine and traction force caused that the shift points and fuzzy rules of the fuzzy adaptive method were no longer fully applicable,and the shift performance was gradually deteriorated.In contrast,the shift performance and speed tracking effect of the proposed method were good throughout,and the mean value of speed tracking error,mean value of fuel consumption rate,and total number of shifts were 0.012 5 m/s,229.76 g/(kW·h),and 42,respectively,which were reduced by 0.91％,11.14％,and 34.38％compared with those of the fuzzy adaptive method.The adaptability and superiority of the proposed method were verified.关键词
动力换挡拖拉机/数字孪生/换挡策略/适应性Key words
power shift tractor/digital twins/shift strategy/adaptability分类
农业科技引用本文复制引用
张延安,王东青,杜岳峰,吴志康,郭晓博,高辽远..基于数字孪生的动力换挡拖拉机换挡策略研究[J].农业机械学报,2024,55(5):440-448,9.基金项目
智能农业动力装备全国重点实验室开放项目(SKLIAPE2023016)和中国农业大学双一流科研项目(2023AC004) （SKLIAPE2023016）
