ABSTRACT Exhaust Gas Recirculation (EGR) was recently introduced in large marine two-stroke diesel engines to reduce -emissions. Controlling EGR flow during accelerations, while keeping good acceleration performance is challenging, due to delays in the scavenge receiver oxygen measurement and upper limits on fuel for avoiding black smoke. Previous oxygen feedback controllers struggled during accelerations, but a new EGR-controller based on adaptive feedforward (AFF) has been successful. Nevertheless, further analysis and tests are required before deploying the controller to more EGR ships. A simulation platform is a great asset to test controllers before expensive real-world experiments are conducted. A new EGR flow controller is proposed and tested in a complete ship simulation model. Several acceleration scenarios show that the low load area is most challenging. Controller robustness is analysed in this area, showing that pressure sensor bias in the EGR flow estimator is the most critical factor, which could lead to black smoke formation. This can be prevented with sensor calibration or by using a differential pressure sensor. Errors in the parameters of the flow estimators are not as important. This is a useful result because the right parameters of the flow estimators might be difficult to obtain, on a new engine.

中文翻译：

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船用二冲程柴油机双执行器EGR控制器鲁棒性分析

摘要 最近在大型船用二冲程柴油发动机中引入了废气再循环 (EGR) 以减少排放。由于扫气接收器氧气测量的延迟和避免黑烟的燃料上限，在加速期间控制 EGR 流量，同时保持良好的加速性能具有挑战性。以前的氧气反馈控制器在加速过程中遇到困难，但基于自适应前馈 (AFF) 的新型 EGR 控制器取得了成功。然而，在将控制器部署到更多 EGR 船舶之前，还需要进一步的分析和测试。在进行昂贵的实际实验之前，仿真平台是测试控制器的重要资产。在完整的船舶仿真模型中提出并测试了一种新的 EGR 流量控制器。几个加速场景表明低负载区域最具挑战性。在该领域分析了控制器的稳健性，表明 EGR 流量估算器中的压力传感器偏差是最关键的因素，可能导致黑烟形成。这可以通过传感器校准或使用压差传感器来防止。流量估计器的参数中的错误并不那么重要。这是一个有用的结果，因为在新引擎上可能难以获得流量估计器的正确参数。流量估计器的参数中的错误并不那么重要。这是一个有用的结果，因为在新引擎上可能难以获得流量估计器的正确参数。流量估计器的参数中的错误并不那么重要。这是一个有用的结果，因为在新引擎上可能难以获得流量估计器的正确参数。